Toward Perceptually-Consistent Stereo: A Scanline Study. - Jialiang Wang 001; Daniel Glasner; Todd E. Zickler (ICCV, 2017)

Local Detection of Stereo Occlusion Boundaries. - Jialiang Wang 001; Todd E. Zickler (CVPR, 2019)

A Lighting-Invariant Point Processor for Shading. - Kathryn Heal; Jialiang Wang 001; Steven J. Gortler; Todd E. Zickler (CVPR, 2020)

Interpreting Robust Optimization via Adversarial Influence Functions. - Zhun Deng; Cynthia Dwork; Jialiang Wang 001; Linjun Zhang (ICML, 2020)

Layered Stereo by Cooperative Grouping with Occlusion. - Jialiang Wang 001; Todd E. Zickler (CoRR, 2020)

Improving Deep Stereo Network Generalization with Geometric Priors. - Jialiang Wang 001; Varun Jampani; Deqing Sun; Charles T. Loop; Stan Birchfield; Jan Kautz (CoRR, 2020)

Level Set Stereo For Cooperative Grouping With Occlusion. - Jialiang Wang 001; Todd E. Zickler (ICIP, 2021)

Level Set Binocular Stereo with Occlusions. - Jialiang Wang 001; Todd E. Zickler (CoRR, 2021)

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. - Bichen Wu; Chaojian Li; Hang Zhang 005; Xiaoliang Dai; Peizhao Zhang; Matthew Yu; Jialiang Wang 001; Yingyan Lin; Peter Vajda (CoRR, 2021)

Toward Practical Self-Supervised Monocular Indoor Depth Estimation. - Cho-Ying Wu; Jialiang Wang 001; Michael Hall; Ulrich Neumann; Shuochen Su (CoRR, 2021)

Toward Practical Monocular Indoor Depth Estimation. - Cho-Ying Wu; Jialiang Wang 001; Michael Hall; Ulrich Neumann; Shuochen Su (CVPR, 2022)

Consistent Direct Time-of-Flight Video Depth Super-Resolution. - Zhanghao Sun; Wei Ye; Jinhui Xiong; Gyeongmin Choe; Jialiang Wang 001; Shuochen Su; Rakesh Ranjan (CVPR, 2023)

A Practical Stereo Depth System for Smart Glasses. - Jialiang Wang 001; Daniel Scharstein; Akash Bapat; Kevin Blackburn-Matzen; Matthew Yu; Jonathan Lehman; Suhib Alsisan; Yanghan Wang; Sam S. Tsai; Jan-Michael Frahm; Zijian He; Peter Vajda; et al. (CVPR, 2023)

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. - Chenfeng Xu; Bichen Wu; Ji Hou; Sam S. Tsai; Ruilong Li; Jialiang Wang 001; Wei Zhan; Zijian He; Peter Vajda; Kurt Keutzer; Masayoshi Tomizuka (ICCV, 2023)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

Efficient Quantization Strategies for Latent Diffusion Models. - Yuewei Yang; Xiaoliang Dai; Jialiang Wang 001; Peizhao Zhang; Hongbo Zhang (CoRR, 2023)

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. - Feng Liang; Bichen Wu; Jialiang Wang 001; Licheng Yu; Kunpeng Li; Yinan Zhao; Ishan Misra; Jia-Bin Huang; Peizhao Zhang; Peter Vajda; Diana Marculescu (CVPR, 2024)

ControlRoom3D: Room Generation Using Semantic Proxy Rooms. - Jonas Schult; Sam S. Tsai; Lukas Höllein; Bichen Wu; Jialiang Wang 001; Chih-Yao Ma; Kunpeng Li; Xiaofang Wang; Felix Wimbauer; Zijian He; Peizhao Zhang; Bastian Leibe; et al. (CVPR, 2024)

Cache Me if You Can: Accelerating Diffusion Models through Block Caching. - Felix Wimbauer; Bichen Wu; Edgar Schönfeld; Xiaoliang Dai; Ji Hou; Zijian He; Artsiom Sanakoyeu; Peizhao Zhang; Sam S. Tsai; Jonas Kohler; Christian Rupprecht 001; Daniel Cremers; et al. (CVPR, 2024)

An Analysis on Quantizing Diffusion Transformers. - Yuewei Yang; Jialiang Wang 001; Xiaoliang Dai; Peizhao Zhang; Hongbo Zhang (CoRR, 2024)

Pixel-Space Post-Training of Latent Diffusion Models. - Christina Zhang; Simran Motwani; Matthew Yu; Ji Hou; Felix Juefei-Xu; Sam S. Tsai; Peter Vajda; Zijian He; Jialiang Wang 001 (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

DirectorLLM for Human-Centric Video Generation. - Kunpeng Song; Tingbo Hou; Zecheng He; Haoyu Ma; Jialiang Wang 001; Animesh Sinha; Sam S. Tsai; Yaqiao Luo; Xiaoliang Dai; Li Chen; Xide Xia; Peizhao Zhang; et al. (CoRR, 2024)

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. - Hongjie Wang 002; Chih-Yao Ma; Yen-Cheng Liu; Ji Hou; Tao Xu; Jialiang Wang 001; Felix Juefei-Xu; Yaqiao Luo; Peizhao Zhang; Tingbo Hou; Peter Vajda; Niraj K. Jha; et al. (CVPR, 2025)

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation. - Philippe Hansen-Estruch; David Yan; Ching-Yao Chung; Orr Zohar; Jialiang Wang 001; Tingbo Hou; Tao Xu; Sriram Vishwanath; Peter Vajda; Xinlei Chen (CoRR, 2025)

Transfer between Modalities with MetaQueries. - Xichen Pan; Satya Narayan Shukla; Aashu Singh; Zhuokai Zhao; Shlok Kumar Mishra; Jialiang Wang 001; Zhiyang Xu; Jiuhai Chen; Kunpeng Li; Felix Juefei-Xu; Ji Hou; Saining Xie (CoRR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)