Chang, Jen-Hao Rick

11 publications

NeurIPS 2024 Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel

ICLR 2024 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

CVPR 2024 HUGS: Human Gaussian Splats Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan

CVPR 2024 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

CVPR 2023 FaceLit: Neural 3D Relightable Faces Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel

CVPR 2023 Pointersect: Neural Rendering with Cloud-Ray Intersection Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel

WACV 2023 Token Pooling in Vision Transformers for Image Classification Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel

ICML 2022 Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel

WACV 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

CVPR 2016 Random Features for Sparse Signal Classification Jen-Hao Rick Chang, Aswin C. Sankaranarayanan, B. V. K. Vijaya Kumar

CVPR 2015 Propagated Image Filtering Jen-Hao Rick Chang, Yu-Chiang Frank Wang