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ORCIDJen-Hao Rick Chang
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2020 – today
- 2024
[c17]Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan:
HUGS: Human Gaussian Splats. CVPR 2024: 505-515- [c16]Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel:
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. CVPR 2024: 27284-27293 - [c15]Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel:
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. ICASSP 2024: 12326-12330 - [c14]Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao:
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. ICLR 2024 - [i17]Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel:
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. CoRR abs/2405.13226 (2024) - 2023
- [c13]Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel:
Pointersect: Neural Rendering with Cloud-Ray Intersection. CVPR 2023: 8359-8369 - [c12]Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel:
FaceLit: Neural 3D Relightable Faces. CVPR 2023: 8619-8628 - [c11]Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel:
Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. ICASSP 2023: 1-5 - [c10]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers for Image Classification. WACV 2023: 12-21 - [i16]Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel:
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis. CoRR abs/2303.14885 (2023) - [i15]Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel:
FaceLit: Neural 3D Relightable Faces. CoRR abs/2303.15437 (2023) - [i14]Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel:
Pointersect: Neural Rendering with Cloud-Ray Intersection. CoRR abs/2304.12390 (2023) - [i13]Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel:
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models. CoRR abs/2309.10707 (2023) - [i12]Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao:
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. CoRR abs/2310.03015 (2023) - [i11]Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang:
Novel-View Acoustic Synthesis from 3D Reconstructed Rooms. CoRR abs/2310.15130 (2023) - [i10]Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan:
HUGS: Human Gaussian Splats. CoRR abs/2311.17910 (2023) - [i9]Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel:
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. CoRR abs/2311.18168 (2023) - 2022
- [c9]Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel:
Data Incubation - Synthesizing Missing Data for Handwriting Recognition. ICASSP 2022: 4188-4192 - [c8]Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel:
SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. ICASSP 2022: 7682-7686 - [c7]Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel:
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. ICML 2022: 2917-2937 - 2021
- [c6]Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel:
Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. EUSIPCO 2021: 1396-1400 - [c5]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP 2021: 4040-4044 - [c4]Anqi Yang, Feng Pan, Vishwanath Saragadam
, Duy Dao, Zhuo Hui, Jen-Hao Rick Chang, Aswin C. Sankaranarayanan:
SliceNets - A Scalable Approach for Object Detection in 3D CT Scans. WACV 2021: 335-344 - [i8]Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel:
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. CoRR abs/2110.02891 (2021) - [i7]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers. CoRR abs/2110.03860 (2021) - [i6]Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel:
Data Incubation - Synthesizing Missing Data for Handwriting Recognition. CoRR abs/2110.07040 (2021) - [i5]Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel:
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. CoRR abs/2110.11479 (2021) - 2020
- [j2]Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan:
Towards occlusion-aware multifocal displays. ACM Trans. Graph. 39(4): 68 (2020) - [i4]Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan:
Towards Occlusion-Aware Multifocal Displays. CoRR abs/2005.00946 (2020) - [i3]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR abs/2011.01156 (2020)
2010 – 2019
- 2018
- [j1]Jen-Hao Rick Chang, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan:
Towards multifocal displays with dense focal stacks. ACM Trans. Graph. 37(6): 198 (2018) - [i2]Jen-Hao Rick Chang, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan:
Towards Multifocal Displays with Dense Focal Stacks. CoRR abs/1805.10664 (2018) - 2017
- [c3]Jen-Hao Rick Chang, Chun-Liang Li, Barnabás Póczos, B. V. K. Vijaya Kumar:
One Network to Solve Them All - Solving Linear Inverse Problems Using Deep Projection Models. ICCV 2017: 5889-5898 - [i1]Jen-Hao Rick Chang, Chun-Liang Li, Barnabás Póczos, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan:
One Network to Solve Them All - Solving Linear Inverse Problems using Deep Projection Models. CoRR abs/1703.09912 (2017) - 2016
- [c2]Jen-Hao Rick Chang, Aswin C. Sankaranarayanan, B. V. K. Vijaya Kumar:
Random Features for Sparse Signal Classification. CVPR 2016: 5404-5412 - 2015
- [c1]Jen-Hao Rick Chang, Yu-Chiang Frank Wang:
Propagated image filtering. CVPR 2015: 10-18
Coauthor Index
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last updated on 2024-10-08 21:32 CEST by the dblp team
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