Jen-Hao Rick Chang

According to our database, Jen-Hao Rick Chang authored at least 22 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications.

Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel

CoRR, 2023

HUGS: Human Gaussian Splats.

Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan

CoRR, 2023

Novel-View Acoustic Synthesis from 3D Reconstructed Rooms.

Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang

CoRR, 2023

Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day.

Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao

CoRR, 2023

Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models.

Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel

CoRR, 2023

Token Pooling in Vision Transformers for Image Classification.

Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis.

Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2023

FaceLit: Neural 3D Relightable Faces.

Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Pointersect: Neural Rendering with Cloud-Ray Intersection.

Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models.

Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel

Proceedings of the International Conference on Machine Learning, 2022

SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition.

Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2022

Data Incubation - Synthesizing Missing Data for Handwriting Recognition.

Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Token Pooling in Vision Transformers.

Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel

CoRR, 2021

SliceNets - A Scalable Approach for Object Detection in 3D CT Scans.

Anqi Yang, Feng Pan, Vishwanath Saragadam, Duy Dao, Zhuo Hui, Jen-Hao Rick Chang, Aswin C. Sankaranarayanan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

SapAugment: Learning A Sample Adaptive Policy for Data Augmentation.

Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2021

Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling.

Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Towards occlusion-aware multifocal displays.

Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan

ACM Trans. Graph., 2020

2018

Towards multifocal displays with dense focal stacks.

Jen-Hao Rick Chang, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan

ACM Trans. Graph., 2018

2017

One Network to Solve Them All - Solving Linear Inverse Problems using Deep Projection Models.

Jen-Hao Rick Chang, Chun-Liang Li, Barnabás Póczos, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan

CoRR, 2017

One Network to Solve Them All - Solving Linear Inverse Problems Using Deep Projection Models.

Jen-Hao Rick Chang, Chun-Liang Li, Barnabás Póczos, B. V. K. Vijaya Kumar

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Random Features for Sparse Signal Classification.

Jen-Hao Rick Chang, Aswin C. Sankaranarayanan, B. V. K. Vijaya Kumar

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Propagated image filtering.

Jen-Hao Rick Chang, Yu-Chiang Frank Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015