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2020 – today
- 2024
[j66]Weide Liu
, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin:
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. Int. J. Comput. Vis. 132(4): 1277-1291 (2024)- [j65]Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai:
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation. Int. J. Comput. Vis. 132(6): 2276-2289 (2024) - [j64]Ke Xian, Zhiguo Cao, Chunhua Shen, Guosheng Lin:
Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark. Int. J. Comput. Vis. 132(7): 2401-2419 (2024) - [j63]Mengyang Sun, Wei Suo, Peng Wang, Kai Niu, Le Liu, Guosheng Lin, Yanning Zhang, Qi Wu:
An Adaptive Correlation Filtering Method for Text-Based Person Search. Int. J. Comput. Vis. 132(10): 4440-4455 (2024) - [j62]Hao Wang, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Jiashi Feng, Zhiqi Shen:
ManiCLIP: Multi-attribute Face Manipulation from Text. Int. J. Comput. Vis. 132(10): 4616-4632 (2024) - [j61]Xiaofeng Yang, Fayao Liu, Guosheng Lin:
Neural Radiance Selector: Find the best 2D representations of 3D data for CLIP based 3D tasks. Knowl. Based Syst. 299: 112002 (2024) - [j60]Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
LCReg: Long-tailed image classification with Latent Categories based Recognition. Pattern Recognit. 145: 109971 (2024) - [j59]Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Fayao Liu, Tzu-Yi Hung:
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4367-4377 (2024) - [j58]Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin:
Indoor Smartphone SLAM With Acoustic Echoes. IEEE Trans. Mob. Comput. 23(6): 6634-6649 (2024) - [j57]Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su, Qingyao Wu:
A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. IEEE Trans. Multim. 26: 313-325 (2024) - [j56]Ke Xian, Juewen Peng, Zhiguo Cao, Jianming Zhang, Guosheng Lin:
ViTA: Video Transformer Adaptor for Robust Video Depth Estimation. IEEE Trans. Multim. 26: 3302-3316 (2024) - [j55]Xiaofeng Yang, Fayao Liu, Guosheng Lin:
Neural Logic Vision Language Explainer. IEEE Trans. Multim. 26: 3331-3340 (2024) - [j54]Lvlong Lai, Jian Chen, Guosheng Lin, Qingyao Wu:
CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification. IEEE Trans. Multim. 26: 9241-9251 (2024) - [j53]Haonan Luo, Guosheng Lin, Fumin Shen, Xingguo Huang, Yazhou Yao, Hengtao Shen:
Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12083-12094 (2024) - [c98]Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin:
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction. AAAI 2024: 964-971 - [c97]Yiwen Chen, Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang, Guosheng Lin:
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis. AAAI 2024: 1237-1244 - [c96]Kewei Wang, Yizheng Wu, Zhiyu Pan, Xingyi Li, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin:
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix. AAAI 2024: 5490-5498 - [c95]Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin:
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. AAAI 2024: 6549-6557 - [c94]Yanda Li, Chi Zhang, Gang Yu, Wanqi Yang, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei:
Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. ACL (Findings) 2024: 14512-14531 - [c93]Chaoyue Song, Jiacheng Wei, Chuan Sheng Foo, Guosheng Lin, Fayao Liu:
REACTO: Reconstructing Articulated Objects from a Single Video. CVPR 2024: 5384-5395 - [c92]Cheng Chen, Xiaofeng Yang, Fan Yang, Chengzeng Feng, Zhoujie Fu, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu:
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior. CVPR 2024: 10228-10237 - [c91]Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin:
R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization. CVPR 2024: 10304-10313 - [c90]Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin:
AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing. CVPR 2024: 10596-10605 - [c89]Kewei Wang, Yizheng Wu, Jun Cen, Zhiyu Pan, Xingyi Li, Zhe Wang, Zhiguo Cao, Guosheng Lin:
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations. CVPR 2024: 14638-14647 - [c88]Xingyi Li, Zhiguo Cao, Yizheng Wu, Kewei Wang, Ke Xian, Zhe Wang, Guosheng Lin:
S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes. CVPR 2024: 20102-20112 - [c87]Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, Guosheng Lin:
GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting. CVPR 2024: 21476-21485 - [c86]Xiaofeng Yang, Yiwen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin:
Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation. ECCV (44) 2024: 136-152 - [c85]Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. ECCV (44) 2024: 352-370 - [c84]Junlin Fang, Wenya Wang, Guosheng Lin, Fengmao Lv:
Sentiment-oriented Sarcasm Integration for Video Sentiment Analysis Enhancement with Sarcasm Assistance. ACM Multimedia 2024: 5810-5819 - [c83]Wenhao Shen, Wanqi Yin, Hao Wang, Chen Wei, Zhongang Cai, Lei Yang, Guosheng Lin:
HMR-Adapter: A Lightweight Adapter with Dual-Path Cross Augmentation for Expressive Human Mesh Recovery. ACM Multimedia 2024: 6093-6102 - [c82]Fengmao Lv, Changru Nie, Jianyang Zhang, Guowu Yang, Guosheng Lin, Xiao Wu, Tianrui Li:
Rethinking the Effect of Uninformative Class Name in Prompt Learning. ACM Multimedia 2024: 8345-8354 - [c81]Xingyi Li, Yizheng Wu, Jun Cen, Juewen Peng, Kewei Wang, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin:
iControl3D: An Interactive System for Controllable 3D Scene Generation. ACM Multimedia 2024: 10814-10823 - [i140]Yunfan Zhang, Hong Huang, Zhiwei Xiong, Zhiqi Shen, Guosheng Lin, Hao Wang, Nicholas Vun:
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects. CoRR abs/2401.13203 (2024) - [i139]Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin:
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction. CoRR abs/2402.19197 (2024) - [i138]Xingyi Li, Zhiguo Cao, Yizheng Wu, Kewei Wang, Ke Xian, Zhe Wang, Guosheng Lin:
S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes. CoRR abs/2403.06205 (2024) - [i137]Cheng Chen, Xiaofeng Yang, Fan Yang, Chengzeng Feng, Zhoujie Fu, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu:
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior. CoRR abs/2403.09140 (2024) - [i136]Kewei Wang, Yizheng Wu, Jun Cen, Zhiyu Pan, Xingyi Li, Zhe Wang, Zhiguo Cao, Guosheng Lin:
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations. CoRR abs/2403.13261 (2024) - [i135]Fan Yang, Jianfeng Zhang, Yichun Shi, Bowen Chen, Chenxu Zhang, Huichao Zhang, Xiaofeng Yang, Jiashi Feng, Guosheng Lin:
Magic-Boost: Boost 3D Generation with Mutli-View Conditioned Diffusion. CoRR abs/2404.06429 (2024) - [i134]Chaoyue Song, Jiacheng Wei, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu:
REACTO: Reconstructing Articulated Objects from a Single Video. CoRR abs/2404.11151 (2024) - [i133]Bingchen Yang, Haiyong Jiang, Hao Pan, Peter Wonka, Jun Xiao, Guosheng Lin:
PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction. CoRR abs/2405.15188 (2024) - [i132]Zhoujie Fu, Jiacheng Wei, Wenhao Shen, Chaoyue Song, Xiaofeng Yang, Fayao Liu, Xulei Yang, Guosheng Lin:
Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation. CoRR abs/2405.16849 (2024) - [i131]Xiaofeng Yang, Cheng Chen, Xulei Yang, Fayao Liu, Guosheng Lin:
Text-to-Image Rectified Flow as Plug-and-Play Priors. CoRR abs/2406.03293 (2024) - [i130]Yuzhong Huang, Zhong Li, Zhang Chen, Zhiyuan Ren, Guosheng Lin, Fred Morstatter, Yi Xu:
OrientDream: Streamlining Text-to-3D Generation with Explicit Orientation Control. CoRR abs/2406.10000 (2024) - [i129]Yiwen Chen, Tong He, Di Huang, Weicai Ye, Sijin Chen, Jiaxiang Tang, Xin Chen, Zhongang Cai, Lei Yang, Gang Yu, Guosheng Lin, Chi Zhang:
MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers. CoRR abs/2406.10163 (2024) - [i128]Yizheng Wu, Zhiyu Pan, Kewei Wang, Xingyi Li, Jiahao Cui, Liwen Xiao, Guosheng Lin, Zhiguo Cao:
Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation. CoRR abs/2406.16776 (2024) - [i127]Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao:
Eliminating Feature Ambiguity for Few-Shot Segmentation. CoRR abs/2407.09842 (2024) - [i126]Xingyi Li, Yizheng Wu, Jun Cen, Juewen Peng, Kewei Wang, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin:
iControl3D: An Interactive System for Controllable 3D Scene Generation. CoRR abs/2408.01678 (2024) - [i125]Yiwen Chen, Yikai Wang, Yihao Luo, Zhengyi Wang, Zilong Chen, Jun Zhu, Chi Zhang, Guosheng Lin:
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization. CoRR abs/2408.02555 (2024) - [i124]Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. CoRR abs/2408.07481 (2024) - [i123]Shichao Dong, Ze Yang, Guosheng Lin:
3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing. CoRR abs/2408.13788 (2024) - [i122]Chengzeng Feng, Jiacheng Wei, Cheng Chen, Yang Li, Pan Ji, Fayao Liu, Hongdong Li, Guosheng Lin:
Prim2Room: Layout-Controllable Room Mesh Generation from Primitives. CoRR abs/2409.05380 (2024) - [i121]Weijing Tao, Xiaofeng Yang, Miaomiao Cui, Guosheng Lin:
MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion Prior. CoRR abs/2409.10090 (2024) - [i120]Zhongcong Xu, Chaoyue Song, Guoxian Song, Jianfeng Zhang, Jun Hao Liew, Hongyi Xu, You Xie, Linjie Luo, Guosheng Lin, Jiashi Feng, Mike Zheng Shou:
High Quality Human Image Animation using Regional Supervision and Motion Blur Condition. CoRR abs/2409.19580 (2024) - [i119]Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao:
Hybrid Mamba for Few-Shot Segmentation. CoRR abs/2409.19613 (2024) - 2023
- [j52]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Learning Structural Representations for Recipe Generation and Food Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3363-3377 (2023) - [j51]Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5632-5648 (2023) - [j50]Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, Zhenmin Tang:
Depth and Video Segmentation Based Visual Attention for Embodied Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6807-6819 (2023) - [j49]Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin:
Unsupervised 3D Pose Transfer With Cross Consistency and Dual Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10488-10499 (2023) - [j48]Yun Hao, Yukun Su, Guosheng Lin, Hanjing Su, Qingyao Wu:
Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification. Pattern Recognit. 144: 109843 (2023) - [j47]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. 168: 123-130 (2023) - [j46]Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin:
Self-Training Vision Language BERTs With a Unified Conditional Model. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3560-3569 (2023) - [j45]Hanyu Shi, Ruibo Li, Fayao Liu, Guosheng Lin:
Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7491-7502 (2023) - [j44]Ze Yang, Chi Zhang, Ruibo Li, Yi Xu, Guosheng Lin:
Efficient Few-Shot Object Detection via Knowledge Inheritance. IEEE Trans. Image Process. 32: 321-334 (2023) - [j43]Xianghui Yang, Guosheng Lin, Luping Zhou:
Single-View 3D Mesh Reconstruction for Seen and Unseen Categories. IEEE Trans. Image Process. 32: 3746-3758 (2023) - [j42]Jianyang Zhang, Guowu Yang, Ping Hu, Guosheng Lin, Fengmao Lv:
Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning. IEEE Trans. Image Process. 32: 4024-4035 (2023) - [j41]Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin:
Cross-Image Region Mining With Region Prototypical Network for Weakly Supervised Segmentation. IEEE Trans. Multim. 25: 1148-1160 (2023) - [j40]Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, Zhenmin Tang:
Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition. IEEE Trans. Multim. 25: 4691-4703 (2023) - [j39]Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin:
Few-Shot Segmentation With Optimal Transport Matching and Message Flow. IEEE Trans. Multim. 25: 5130-5141 (2023) - [j38]Xiaofeng Yang, Fayao Liu, Guosheng Lin:
Effective End-to-End Vision Language Pretraining With Semantic Visual Loss. IEEE Trans. Multim. 25: 8408-8417 (2023) - [c80]Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin:
3D Cinemagraphy from a Single Image. CVPR 2023: 4595-4605 - [c79]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Implicit Representation by Explicit Learning. CVPR 2023: 16727-16738 - [c78]Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap:
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision. CVPR 2023: 16805-16815 - [c77]Ruibo Li, Hanyu Shi, Ziang Fu, Zhe Wang, Guosheng Lin:
Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving. CVPR 2023: 17599-17608 - [c76]Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long:
Self-Calibrated Cross Attention Network for Few-Shot Segmentation. ICCV 2023: 655-665 - [c75]Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin:
Neural Video Depth Stabilizer. ICCV 2023: 9432-9442 - [c74]Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin:
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision. ICCV 2023: 16619-16628 - [c73]Ze Yang, Ruibo Li, Evan Ling, Chi Zhang, Yiming Wang, Dezhao Huang, Keng Teck Ma, Minhoe Hur, Guosheng Lin:
Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds. ICCV 2023: 18555-18566 - [c72]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). ICDE 2023: 3829-3830 - [c71]Liao Shen, Xingyi Li, Huiqiang Sun, Juewen Peng, Ke Xian, Zhiguo Cao, Guosheng Lin:
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image. ACM Multimedia 2023: 8167-8175 - [c70]Bingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin, Peng Wang, Yanning Zhang:
Toward Re-Identifying Any Animal. NeurIPS 2023 - [i118]Xiaofeng Yang, Fayao Liu, Guosheng Lin:
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss. CoRR abs/2301.07236 (2023) - [i117]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Implicit Representation by Explicit Learning. CoRR abs/2303.04341 (2023) - [i116]Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai:
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation. CoRR abs/2303.05164 (2023) - [i115]Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin:
3D Cinemagraphy from a Single Image. CoRR abs/2303.05724 (2023) - [i114]Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap:
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision. CoRR abs/2303.13273 (2023) - [i113]Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin:
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. CoRR abs/2303.13724 (2023) - [i112]Yunfan Zhang, Hao Wang, Guosheng Lin, Vun Chan Hua Nicholas, Zhiqi Shen, Chunyan Miao:
StarNet: Style-Aware 3D Point Cloud Generation. CoRR abs/2303.15805 (2023) - [i111]Chaoyue Song, Tianyi Chen, Yiwen Chen, Jiacheng Wei, Chuan Sheng Foo, Fayao Liu, Guosheng Lin:
MoDA: Modeling Deformable 3D Objects from Casual Videos. CoRR abs/2304.08279 (2023) - [i110]Youtan Yin, Zhoujie Fu, Fan Yang, Guosheng Lin:
OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields. CoRR abs/2305.10503 (2023) - [i109]Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang Yu, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen:
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation. CoRR abs/2305.19012 (2023) - [i108]Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin:
Neural Video Depth Stabilizer. CoRR abs/2307.08695 (2023) - [i107]Shichao Dong, Guosheng Lin:
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations. CoRR abs/2308.01721 (2023) - [i106]Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long:
Self-Calibrated Cross Attention Network for Few-Shot Segmentation. CoRR abs/2308.09294 (2023) - [i105]Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen:
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2308.09327 (2023) - [i104]Yanda Li, Chi Zhang, Gang Yu, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei:
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. CoRR abs/2308.10253 (2023) - [i103]Liao Shen, Xingyi Li, Huiqiang Sun, Juewen Peng, Ke Xian, Zhiguo Cao, Guosheng Lin:
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image. CoRR abs/2308.10257 (2023) - [i102]Yiwen Chen, Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang, Guosheng Lin:
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis. CoRR abs/2308.11473 (2023) - [i101]Yukun Su, Guosheng Lin, Qingyao Wu:
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds. CoRR abs/2308.13866 (2023) - [i100]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization. CoRR abs/2309.01512 (2023) - [i99]Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition. CoRR abs/2309.07186 (2023) - [i98]Ruibo Li, Chi Zhang, Zhe Wang, Chunhua Shen, Guosheng Lin:
Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior. CoRR abs/2310.11284 (2023) - [i97]Shichao Dong, Fayao Liu, Guosheng Lin:
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation. CoRR abs/2311.01989 (2023) - [i96]Jiacheng Wei, Guosheng Lin, Henghui Ding, Jie Hu, Kim-Hui Yap:
Learning-Based Biharmonic Augmentation for Point Cloud Classification. CoRR abs/2311.06070 (2023) - [i95]Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, Guosheng Lin:
GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting. CoRR abs/2311.14521 (2023) - [i94]Xiaojing Zhong, Yukun Su, Zhonghua Wu, Guosheng Lin, Qingyao Wu:
DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human. CoRR abs/2311.16818 (2023) - [i93]Xiaojing Zhong, Xinyi Huang, Zhonghua Wu, Guosheng Lin, Qingyao Wu:
SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization. CoRR abs/2311.16828 (2023) - [i92]Xiaosheng He, Fan Yang, Fayao Liu, Guosheng Lin:
Few-shot Image Generation via Style Adaptation and Content Preservation. CoRR abs/2311.18169 (2023) - [i91]Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin:
AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing. CoRR abs/2312.02209 (2023) - [i90]Xiaofeng Yang, Yiwen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin:
Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting. CoRR abs/2312.04820 (2023) - [i89]Kewei Wang, Yizheng Wu, Zhiyu Pan, Xingyi Li, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin:
Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix. CoRR abs/2312.08009 (2023) - 2022
- [j37]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRCNet: Few-Shot Segmentation with Cross-Reference and Region-Global Conditional Networks. Int. J. Comput. Vis. 130(12): 3140-3157 (2022) - [j36]Su He, Xiaofeng Yang, Guosheng Lin:
Learning language to symbol and language to vision mapping for visual grounding. Image Vis. Comput. 122: 104451 (2022) - [j35]Ruibing Jin, Guosheng Lin, Changyun Wen:
Online Active Proposal Set Generation for weakly supervised object detection. Knowl. Based Syst. 237: 107726 (2022) - [j34]Lvlong Lai, Jian Chen, Chi Zhang, Zehong Zhang, Guosheng Lin, Qingyao Wu:
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation. Knowl. Based Syst. 253: 109508 (2022) - [j33]Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu:
Feature flow: In-network feature flow estimation for video object detection. Pattern Recognit. 122: 108323 (2022) - [j32]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Decomposing generation networks with structure prediction for recipe generation. Pattern Recognit. 126: 108578 (2022) - [j31]Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua:
Dense Semantics-Assisted Networks for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3073-3084 (2022) - [j30]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cross-Modal Graph With Meta Concepts for Video Captioning. IEEE Trans. Image Process. 31: 5150-5162 (2022) - [j29]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(6): 2810-2823 (2022) - [c69]Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin:
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis. 3DV 2022: 42-51 - [c68]Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu:
Self-Supervised Object Localization with Joint Graph Partition. AAAI 2022: 2289-2297 - [c67]Xingyi Li, Chaoyi Hong, Yiran Wang, Zhiguo Cao, Ke Xian, Guosheng Lin:
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis. ACCV (1) 2022: 228-244 - [c66]Hanyu Shi, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin:
Weakly Supervised Segmentation on Outdoor 4D point clouds with Temporal Matching and Spatial Graph Propagation. CVPR 2022: 11830-11839 - [c65]Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li, Guojun Ma, Fengmao Lv:
Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification. CVPR 2022: 15471-15480 - [c64]Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen:
RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior. CVPR 2022: 16938-16947 - [c63]Shichao Dong, Guosheng Lin, Tzu-Yi Hung:
Learning Regional Purity for Instance Segmentation on 3D Point Clouds. ECCV (30) 2022: 56-72 - [c62]Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian:
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation. ECCV (31) 2022: 78-96 - [c61]Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang:
Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification. ECCV (14) 2022: 285-301 - [c60]Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu:
General Object Pose Transformation Network from Unpaired Data. ECCV (6) 2022: 292-310 - [c59]Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin:
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction. ECCV (2) 2022: 328-344 - [c58]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval. ACM Multimedia 2022: 5517-5526 - [c57]Nan Song, Chi Zhang, Guosheng Lin:
Few-shot Open-set Recognition Using Background as Unknowns. ACM Multimedia 2022: 5970-5979 - [c56]Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin:
S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction. NeurIPS 2022 - [c55]Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin:
Indoor Smartphone SLAM with Learned Echoic Location Features. SenSys 2022: 489-503 - [i88]Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin:
Self-Training Vision Language BERTs with a Unified Conditional Model. CoRR abs/2201.02010 (2022) - [i87]Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. CoRR abs/2203.04708 (2022) - [i86]Ze Yang, Chi Zhang, Ruibo Li, Guosheng Lin:
Efficient Few-Shot Object Detection via Knowledge Inheritance. CoRR abs/2203.12224 (2022) - [i85]Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
Long-tailed Recognition by Learning from Latent Categories. CoRR abs/2206.01010 (2022) - [i84]Hanyu Shi, Jiacheng Wei, Hao Wang, Fayao Liu, Guosheng Lin:
Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation. CoRR abs/2207.04673 (2022) - [i83]Nan Song, Chi Zhang, Guosheng Lin:
Few-shot Open-set Recognition Using Background as Unknowns. CoRR abs/2207.09059 (2022) - [i82]Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian:
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation. CoRR abs/2207.09084 (2022) - [i81]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image. CoRR abs/2207.14425 (2022) - [i80]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval. CoRR abs/2207.14428 (2022) - [i79]Xianghui Yang, Guosheng Lin, Luping Zhou:
ZeroMesh: Zero-shot Single-view 3D Mesh Reconstruction. CoRR abs/2208.02676 (2022) - [i78]Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin:
RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation. CoRR abs/2208.05110 (2022) - [i77]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks. CoRR abs/2208.10761 (2022) - [i76]Xingyi Li, Chaoyi Hong, Yiran Wang, Zhiguo Cao, Ke Xian, Guosheng Lin:
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis. CoRR abs/2209.14819 (2022) - [i75]Hao Wang, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Zehuan Yuan, Chunyan Miao, Jiashi Feng:
ManiCLIP: Multi-Attribute Face Manipulation from Text. CoRR abs/2210.00445 (2022) - [i74]Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin:
Indoor Smartphone SLAM with Learned Echoic Location Features. CoRR abs/2210.08493 (2022) - [i73]Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin:
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction. CoRR abs/2211.07955 (2022) - [i72]Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin:
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction. CoRR abs/2211.10278 (2022) - [i71]Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Ruiqi Wu, Shizhou Zhang, Peng Wang, Yanning Zhang:
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion. CoRR abs/2212.02398 (2022) - 2021
- [j28]Hao Chen, Youfu Li, Yongjian Deng, Guosheng Lin:
CNN-Based RGB-D Salient Object Detection: Learn, Select, and Fuse. Int. J. Comput. Vis. 129(7): 2076-2096 (2021) - [j27]Pengshuai Yin, Jiayong Ye, Guosheng Lin, Qingyao Wu:
Graph neural network for 6D object pose estimation. Knowl. Based Syst. 218: 106839 (2021) - [j26]Xiaoqian Ruan, Guosheng Lin, Cheng Long, Shengli Lu:
Few-shot fine-grained classification with Spatial Attentive Comparison. Knowl. Based Syst. 218: 106840 (2021) - [j25]Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu:
Guided Co-Segmentation Network for Fast Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1607-1617 (2021) - [j24]Fengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, Lixin Duan:
Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3493-3503 (2021) - [j23]Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin:
On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections. ACM Trans. Internet Things 2(2): 11:1-11:32 (2021) - [j22]Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao:
CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence. IEEE Trans. Image Process. 30: 5652-5664 (2021) - [j21]Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu:
Progressive Self-Guided Loss for Salient Object Detection. IEEE Trans. Image Process. 30: 8426-8438 (2021) - [c54]Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen:
HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding. CVPR 2021: 364-373 - [c53]Fengmao Lv, Xiang Chen, Yanyong Huang, Lixin Duan, Guosheng Lin:
Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences. CVPR 2021: 2554-2562 - [c52]Fan Yang, Guosheng Lin:
CT-Net: Complementary Transfering Network for Garment Transfer With Arbitrary Geometric Changes. CVPR 2021: 9899-9908 - [c51]Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu:
Few-Shot Incremental Learning With Continually Evolved Classifiers. CVPR 2021: 12455-12464 - [c50]Ruibo Li, Guosheng Lin, Lihua Xie:
Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk. CVPR 2021: 15577-15586 - [c49]Zhonghua Wu, Xiangxi Shi, Guosheng Lin, Jianfei Cai:
Learning Meta-class Memory for Few-Shot Semantic Segmentation. ICCV 2021: 497-506 - [c48]Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. ICCV 2021: 6984-6994 - [c47]Tao Liang, Guosheng Lin, Lei Feng, Yan Zhang, Fengmao Lv:
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion. ICCV 2021: 8128-8136 - [c46]Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen:
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. ICCV 2021: 9415-9424 - [c45]Yukun Su, Guosheng Lin, Qingyao Wu:
Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity. ICCV 2021: 13308-13318 - [c44]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis. ACM Multimedia 2021: 630-638 - [c43]Yukun Su, Guosheng Lin, Ruizhou Sun, Yun Hao, Qingyao Wu:
Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning. ACM Multimedia 2021: 769-778 - [c42]Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu:
MV-TON: Memory-based Video Virtual Try-on network. ACM Multimedia 2021: 908-916 - [c41]Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin:
3D Pose Transfer with Correspondence Learning and Mesh Refinement. NeurIPS 2021: 3108-3120 - [i70]Guankai Li, Chi Zhang, Guosheng Lin:
CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence. CoRR abs/2101.01308 (2021) - [i69]Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu:
Progressive Self-Guided Loss for Salient Object Detection. CoRR abs/2101.02412 (2021) - [i68]Ruibing Jin, Guosheng Lin, Changyun Wen:
Online Active Proposal Set Generation for Weakly Supervised Object Detection. CoRR abs/2101.07929 (2021) - [i67]Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. CoRR abs/2103.01795 (2021) - [i66]Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu:
Few-Shot Incremental Learning with Continually Evolved Classifiers. CoRR abs/2104.03047 (2021) - [i65]Fan Yang, Guosheng Lin:
CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes. CoRR abs/2105.05497 (2021) - [i64]Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen:
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding. CoRR abs/2105.07751 (2021) - [i63]Ruibo Li, Guosheng Lin, Lihua Xie:
Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk. CoRR abs/2105.08248 (2021) - [i62]Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Fayao Liu, Tzu-Yi Hung:
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds. CoRR abs/2107.11267 (2021) - [i61]Xiangxi Shi, Zhonghua Wu, Guosheng Lin, Jianfei Cai, Shafiq R. Joty:
Remember What You have drawn: Semantic Image Manipulation with Memory. CoRR abs/2107.12579 (2021) - [i60]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis. CoRR abs/2108.01361 (2021) - [i59]Fayao Liu, Guosheng Lin, Chuan-Sheng Foo:
Point Discriminative Learning for Unsupervised Representation Learning on 3D Point Clouds. CoRR abs/2108.02104 (2021) - [i58]Xin Sun, Henghui Ding, Chi Zhang, Guosheng Lin, Keck Voon Ling:
M2IOSR: Maximal Mutual Information Open Set Recognition. CoRR abs/2108.02373 (2021) - [i57]Zhonghua Wu, Xiangxi Shi, Guosheng Lin, Jianfei Cai:
Learning Meta-class Memory for Few-Shot Semantic Segmentation. CoRR abs/2108.02958 (2021) - [i56]Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
Few-Shot Segmentation with Global and Local Contrastive Learning. CoRR abs/2108.05293 (2021) - [i55]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Cross-Modal Graph with Meta Concepts for Video Captioning. CoRR abs/2108.06458 (2021) - [i54]Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin:
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation. CoRR abs/2108.07413 (2021) - [i53]Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu:
MV-TON: Memory-based Video Virtual Try-on network. CoRR abs/2108.07502 (2021) - [i52]Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin:
Few-shot Segmentation with Optimal Transport Matching and Message Flow. CoRR abs/2108.08518 (2021) - [i51]Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu:
Calibrating Class Activation Maps for Long-Tailed Visual Recognition. CoRR abs/2108.12757 (2021) - [i50]Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen:
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. CoRR abs/2109.05749 (2021) - [i49]Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin:
3D Pose Transfer with Correspondence Learning and Mesh Refinement. CoRR abs/2109.15025 (2021) - [i48]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Learning Structural Representations for Recipe Generation and Food Retrieval. CoRR abs/2110.01209 (2021) - [i47]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. CoRR abs/2110.10048 (2021) - 2020
- [j20]Zichuan Liu, Guosheng Lin, Wang Ling Goh:
Bottom-Up Scene Text Detection with Markov Clustering Networks. Int. J. Comput. Vis. 128(6): 1786-1809 (2020) - [j19]Guosheng Lin, Fayao Liu, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-Path Refinement Networks for Dense Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1228-1242 (2020) - [j18]Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang:
Motion Context Network for Weakly Supervised Object Detection in Videos. IEEE Signal Process. Lett. 27: 1864-1868 (2020) - [j17]Hao Chen, Yongjian Deng, Youfu Li, Tzu-Yi Hung, Guosheng Lin:
RGBD Salient Object Detection via Disentangled Cross-Modal Fusion. IEEE Trans. Image Process. 29: 8407-8416 (2020) - [j16]Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou:
Video Object Segmentation and Tracking: A Survey. ACM Trans. Intell. Syst. Technol. 11(4): 36:1-36:47 (2020) - [j15]Sheng Yang, Guosheng Lin, Qiuping Jiang, Weisi Lin:
A Dilated Inception Network for Visual Saliency Prediction. IEEE Trans. Multim. 22(8): 2163-2176 (2020) - [c40]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRNet: Cross-Reference Networks for Few-Shot Segmentation. CVPR 2020: 4164-4172 - [c39]Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin:
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer. CVPR 2020: 4333-4342 - [c38]Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie:
Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds. CVPR 2020: 4383-4392 - [c37]Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi Hung, Zhenhua Wang:
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds. CVPR 2020: 4573-4582 - [c36]Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers. CVPR 2020: 12200-12210 - [c35]Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai:
Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection. CVPR 2020: 12933-12942 - [c34]Yukun Su, Guosheng Lin, Jin-Hui Zhu, Qingyao Wu:
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition. ECCV (4) 2020: 74-90 - [c33]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Structure-Aware Generation Network for Recipe Generation from Images. ECCV (27) 2020: 359-374 - [c32]Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu:
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering. ECCV (21) 2020: 414-430 - [c31]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. ECCV (19) 2020: 539-554 - [c30]Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex C. Kot:
Splitting Vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation. ECCV (22) 2020: 663-679 - [c29]Weide Liu, Chi Zhang, Guosheng Lin, Tzu-Yi Hung, Chunyan Miao:
Weakly Supervised Segmentation with Maximum Bipartite Graph Matching. ACM Multimedia 2020: 2085-2094 - [i46]Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers. CoRR abs/2003.06777 (2020) - [i45]Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai:
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection. CoRR abs/2003.09790 (2020) - [i44]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRNet: Cross-Reference Networks for Few-Shot Segmentation. CoRR abs/2003.10658 (2020) - [i43]Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie:
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds. CoRR abs/2003.13035 (2020) - [i42]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images. CoRR abs/2007.13374 (2020) - [i41]Xin Sun, Chi Zhang, Guosheng Lin, Keck Voon Ling:
Open Set Recognition with Conditional Probabilistic Generative Models. CoRR abs/2008.05129 (2020) - [i40]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. CoRR abs/2008.06651 (2020) - [i39]Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Structure-Aware Generation Network for Recipe Generation from Images. CoRR abs/2009.00944 (2020) - [i38]Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu:
Feature Flow: In-network Feature Flow Estimation for Video Object Detection. CoRR abs/2009.09660 (2020) - [i37]Zhenhua Wang, Jiajun Meng, Jin Zhou, Dongyan Guo, Guosheng Lin, Jianhua Zhang, Qinfeng (Javen) Shi, Shengyong Chen:
LAGNet: Logic-Aware Graph Network for Human Interaction Understanding. CoRR abs/2011.10250 (2020) - [i36]Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin:
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections. CoRR abs/2012.07626 (2020) - [i35]Xiaoyu Chen, Chi Zhang, Guosheng Lin, Jing Han:
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation. CoRR abs/2012.14255 (2020)
2010 – 2019
- 2019
- [j14]Feixiang He, Fayao Liu, Rui Yao, Guosheng Lin:
Local fusion networks with chained residual pooling for video action recognition. Image Vis. Comput. 81: 34-41 (2019) - [j13]Zhonghua Wu, Guosheng Lin, Jianfei Cai:
Keypoint based weakly supervised human parsing. Image Vis. Comput. 91 (2019) - [j12]Rui Yao, Guosheng Lin, Chunhua Shen, Yanning Zhang, Qinfeng Shi:
Semantics-Aware Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1687-1700 (2019) - [j11]Tianyi Zhang, Guosheng Lin, Jianfei Cai, Tong Shen, Chunhua Shen, Alex C. Kot:
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 21(11): 2930-2941 (2019) - [c28]Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen:
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning. CVPR 2019: 5217-5226 - [c27]Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh:
Towards Robust Curve Text Detection With Conditional Spatial Expansion. CVPR 2019: 7269-7278 - [c26]Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao:
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation. ICCV 2019: 9586-9594 - [c25]Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao:
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. ICCV 2019: 9666-9675 - [c24]Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin:
On lightweight privacy-preserving collaborative learning for internet-of-things objects. IoTDI 2019: 70-81 - [c23]Zhonghua Wu, Guosheng Lin, Qingyi Tao, Jianfei Cai:
M2E-Try On Net: Fashion from Model to Everyone. ACM Multimedia 2019: 293-301 - [c22]Tianyi Zhang, Guosheng Lin, Jianfei Cai, Alex C. Kot:
Semantic Segmentation via Domain Adaptation with Global Structure Embedding. VCIP 2019: 1-4 - [c21]Tianyi Zhang, Jingyi Yang, Chuanxia Zheng, Guosheng Lin, Jianfei Cai, Alex C. Kot:
Task-in-all Domain Adaptation for Semantic Segmentation. VCIP 2019: 1-4 - [i34]Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin:
On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects. CoRR abs/1902.05197 (2019) - [i33]Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen:
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning. CoRR abs/1903.02351 (2019) - [i32]Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh:
Towards Robust Curve Text Detection with Conditional Spatial Expansion. CoRR abs/1903.08836 (2019) - [i31]Sheng Yang, Guosheng Lin, Qiuping Jiang, Weisi Lin:
A Dilated Inception Network for Visual Saliency Prediction. CoRR abs/1904.03571 (2019) - [i30]Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou:
Video Object Segmentation and Tracking: A Survey. CoRR abs/1904.09172 (2019) - 2018
- [j10]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1352-1366 (2018) - [j9]Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe:
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. Pattern Recognit. 78: 252-266 (2018) - [j8]Biyun Sheng, Chunhua Shen, Guosheng Lin, Jun Li, Wankou Yang, Changyin Sun:
Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1788-1797 (2018) - [j7]Fayao Liu, Guosheng Lin, Ruizhi Qiao, Chunhua Shen:
Structured Learning of Tree Potentials in CRF for Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2631-2637 (2018) - [c20]Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang:
MoNet: Deep Motion Exploitation for Video Object Segmentation. CVPR 2018: 1140-1148 - [c19]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Bootstrapping the Performance of Webly Supervised Semantic Segmentation. CVPR 2018: 1363-1371 - [c18]Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh:
Learning Markov Clustering Networks for Scene Text Detection. CVPR 2018: 6936-6944 - [c17]Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan:
Domain Adaptive Semantic Segmentation Through Structure Enhancement. ECCV Workshops (2) 2018: 172-179 - [c16]Anton Milan, Trung Pham, K. Vijay, Douglas Morrison, Adam W. Tow, L. Liu, J. Erskine, R. Grinover, A. Gurman, T. Hunn, N. Kelly-Boxall, D. Lee, M. McTaggart, G. Rallos, A. Razjigaev, T. Rowntree, T. Shen, R. Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian David Reid, Peter I. Corke, Jürgen Leitner:
Semantic Segmentation from Limited Training Data. ICRA 2018: 1908-1915 - [i29]Tianyi Zhang, Guosheng Lin, Jianfei Cai, Tong Shen, Chunhua Shen, Alex C. Kot:
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. CoRR abs/1803.02563 (2018) - [i28]Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wang Ling Goh:
Learning Markov Clustering Networks for Scene Text Detection. CoRR abs/1805.08365 (2018) - [i27]Zhonghua Wu, Guosheng Lin, Jianfei Cai:
Keypoint Based Weakly Supervised Human Parsing. CoRR abs/1809.05285 (2018) - [i26]Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang:
Correlation Propagation Networks for Scene Text Detection. CoRR abs/1810.00304 (2018) - [i25]Zhonghua Wu, Guosheng Lin, Qingyi Tao, Jianfei Cai:
M2E-Try On Net: Fashion from Model to Everyone. CoRR abs/1811.08599 (2018) - 2017
- [j6]Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen:
Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. Int. J. Comput. Vis. 123(2): 287-308 (2017) - [j5]Fayao Liu, Guosheng Lin, Chunhua Shen:
Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific Loss. IEEE Trans. Image Process. 26(5): 2127-2136 (2017) - [c15]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. BMVC 2017 - [c14]Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation. CVPR 2017: 5168-5177 - [c13]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR 2017: 5660-5668 - [c12]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. IJCAI 2017: 2708-2714 - [i24]Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. CoRR abs/1701.07122 (2017) - [i23]Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe:
Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks. CoRR abs/1702.06212 (2017) - [i22]Fayao Liu, Guosheng Lin, Ruizhi Qiao, Chunhua Shen:
Structured Learning of Tree Potentials in CRF for Image Segmentation. CoRR abs/1703.08764 (2017) - [i21]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. CoRR abs/1705.09052 (2017) - [i20]Anton Milan, Trung Pham, K. Vijay, Douglas Morrison, Adam W. Tow, L. Liu, J. Erskine, R. Grinover, A. Gurman, T. Hunn, N. Kelly-Boxall, D. Lee, M. McTaggart, G. Rallos, A. Razjigaev, T. Rowntree, T. Shen, R. Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian D. Reid, Peter I. Corke, Jürgen Leitner:
Semantic Segmentation from Limited Training Data. CoRR abs/1709.07665 (2017) - 2016
- [j4]Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid:
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2024-2039 (2016) - [c11]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian D. Reid:
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation. CVPR 2016: 3194-3203 - [c10]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-Based Deep Binary Embedding Networks. CVPR 2016: 5955-5964 - [i19]Fayao Liu, Guosheng Lin, Chunhua Shen:
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss. CoRR abs/1601.07649 (2016) - [i18]Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen:
Structured Learning of Binary Codes with Column Generation. CoRR abs/1602.06654 (2016) - [i17]Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Fast Training of Triplet-based Deep Binary Embedding Networks. CoRR abs/1603.02844 (2016) - [i16]Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured models for Semantic Segmentation. CoRR abs/1603.03183 (2016) - [i15]Biyun Sheng, Chunhua Shen, Guosheng Lin, Jun Li, Wankou Yang, Changyin Sun:
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps. CoRR abs/1604.08660 (2016) - [i14]Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid:
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation. CoRR abs/1611.06612 (2016) - [i13]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CoRR abs/1611.09967 (2016) - 2015
- [j3]Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Supervised Hashing Using Graph Cuts and Boosted Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2317-2331 (2015) - [j2]Fayao Liu, Guosheng Lin, Chunhua Shen:
CRF learning with CNN features for image segmentation. Pattern Recognit. 48(10): 2983-2992 (2015) - [c9]Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid:
Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. CVPR Workshops 2015: 18-25 - [c8]Fayao Liu, Chunhua Shen, Guosheng Lin:
Deep convolutional neural fields for depth estimation from a single image. CVPR 2015: 5162-5170 - [c7]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. NIPS 2015: 361-369 - [i12]Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid:
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. CoRR abs/1502.07411 (2015) - [i11]Fayao Liu, Guosheng Lin, Chunhua Shen:
CRF Learning with CNN Features for Image Segmentation. CoRR abs/1503.08263 (2015) - [i10]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Efficient piecewise training of deep structured models for semantic segmentation. CoRR abs/1504.01013 (2015) - [i9]Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. CoRR abs/1506.02108 (2015) - 2014
- [j1]Chunhua Shen, Guosheng Lin, Anton van den Hengel:
StructBoost: Boosting Methods for Predicting Structured Output Variables. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 2089-2103 (2014) - [c6]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CVPR 2014: 1971-1978 - [c5]Guosheng Lin, Chunhua Shen, Jianxin Wu:
Optimizing Ranking Measures for Compact Binary Code Learning. ECCV (3) 2014: 613-627 - [i8]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CoRR abs/1404.1561 (2014) - [i7]Guosheng Lin, Chunhua Shen, Jianxin Wu:
Optimizing Ranking Measures for Compact Binary Code Learning. CoRR abs/1407.1151 (2014) - [i6]Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Supervised Hashing Using Graph Cuts and Boosted Decision Trees. CoRR abs/1408.5574 (2014) - [i5]Fayao Liu, Chunhua Shen, Guosheng Lin:
Deep Convolutional Neural Fields for Depth Estimation from a Single Image. CoRR abs/1411.6387 (2014) - 2013
- [c4]Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. ICCV 2013: 2552-2559 - [c3]Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Approximate constraint generation for efficient structured boosting. ICIP 2013: 4287-4291 - [c2]Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Learning Hash Functions Using Column Generation. ICML (1) 2013: 142-150 - [i4]Chunhua Shen, Guosheng Lin, Anton van den Hengel:
StructBoost: Boosting Methods for Predicting Structured Output Variables. CoRR abs/1302.3283 (2013) - [i3]Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Learning Hash Functions Using Column Generation. CoRR abs/1303.0339 (2013) - [i2]Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. CoRR abs/1309.1853 (2013) - [i1]Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. CoRR abs/1311.5947 (2013) - 2012
- [c1]Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. ACCV (2) 2012: 782-795
Coauthor Index
Chuan-Sheng Foo
aka: Chuan Sheng Foo
aka: Chuan Sheng Foo
[j61] [j60] [j59] [j55] [c98] [c95] [c93] [c92] [c91] [c86] [i139] [i137] [i134] [i132] [i131] [i122] [j50] [j49] [j46] [j45] [j38] [c74] [i118] [i111] [i99] [i97] [i92] [i90] [j37] [j33] [c69] [c66] [i88] [i85] [i84] [i78] [i77] [i72] [c54] [c41] [i64] [i62] [i59] [i56] [i49] [j19] [c40] [c32] [i44] [i38] [j14] [c28] [c27] [c26] [c25] [i33] [i32] [j7] [i26] [j6] [j5] [i22] [j4] [i19] [i18] [j2] [c9] [c8] [i12] [i11] [i5]
[j64] [c94] [j51] [i109] [i104] [i98] [c64] [c54] [c46] [i64] [i50] [j19] [c36] [i46] [j12] [j11] [c28] [i33] [j10] [j8] [j7] [c19] [i29] [i26] [j6] [j5] [c15] [c14] [c13] [c12] [i24] [i22] [i21] [j4] [c11] [c10] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j3] [j2] [c9] [c8] [c7] [i12] [i11] [i10] [i9] [j1] [c6] [c5] [i8] [i7] [i6] [i5] [c4] [c3] [c2] [i4] [i3] [i2] [i1] [c1]
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