Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. - Hanxue Liang; Chenhan Jiang; Dapeng Feng; Xin Chen 032; Hang Xu 004; Xiaodan Liang; Wei Zhang 196; Zhenguo Li; Luc Van Gool (ICCV, 2021)

One Million Scenes for Autonomous Driving: ONCE Dataset. - Jiageng Mao; Minzhe Niu; Chenhan Jiang; Hanxue Liang; Jingheng Chen; Xiaodan Liang; Yamin Li; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Jie Yu; Chunjing Xu; et al. (NeurIPS Datasets and Benchmarks, 2021)

One Million Scenes for Autonomous Driving: ONCE Dataset. - Jiageng Mao; Minzhe Niu; Chenhan Jiang; Hanxue Liang; Xiaodan Liang; Yamin Li; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Jie Yu; Hang Xu 004; Chunjing Xu (CoRR, 2021)

Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. - Hanxue Liang; Hehe Fan; Zhiwen Fan; Yi Wang 076; Tianlong Chen 001; Yu Cheng 001; Zhangyang Wang (ECCV (3), 2022)

M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. - Hanxue Liang; Zhiwen Fan; Rishov Sarkar; Ziyu Jiang; Tianlong Chen 001; Kai Zou; Yu Cheng 001; Cong Hao; Zhangyang Wang (NeurIPS, 2022)

M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. - Hanxue Liang; Zhiwen Fan; Rishov Sarkar; Ziyu Jiang; Tianlong Chen 001; Kai Zou; Yu Cheng 001; Cong Hao; Zhangyang Wang (CoRR, 2022)

Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts. - Rishov Sarkar; Hanxue Liang; Zhiwen Fan; Zhangyang Wang; Cong Hao (ICCAD, 2023)

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. - Wenyan Cong; Hanxue Liang; Peihao Wang; Zhiwen Fan; Tianlong Chen 001; Mukund Varma T.; Yi Wang 076; Zhangyang Wang (ICCV, 2023)

αSurf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity. - Tianhao Wu 003; Hanxue Liang; Fangcheng Zhong; Gernot Riegler; Shimon Vainer; A. Cengiz Öztireli (CoRR, 2023)

Self-Calibrated Multi-Sensor Wearable for Hand Tracking and Modeling. - Nikhil Gosala; Fangjinhua Wang; Zhaopeng Cui; Hanxue Liang; Oliver Glauser; Shihao Wu; Olga Sorkine-Hornung (IEEE Trans. Vis. Comput. Graph., 2023)

NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction. - Wenyan Cong; Hanxue Liang; Zhiwen Fan; Peihao Wang; Yifan Jiang 001; Dejia Xu; A. Cengiz Öztireli; Zhangyang Wang (CVPR Workshops, 2024)

Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models. - Hanwen Liang; Yuyang Yin; Dejia Xu; Hanxue Liang; Zhangyang Wang; Konstantinos N. Plataniotis; Yao Zhao 001; Yunchao Wei (NeurIPS, 2024)

SCube: Instant Large-Scale Scene Reconstruction using VoxSplats. - Xuanchi Ren; Yifan Lu; Hanxue Liang; Jay Zhangjie Wu; Huan Ling; Mike Chen; Sanja Fidler; Francis Williams; Jiahui Huang (NeurIPS, 2024)

L4GM: Large 4D Gaussian Reconstruction Model. - Jiawei Ren 001; Cheng Xie; Ashkan Mirzaei; Hanxue Liang; Xiaohui Zeng; Karsten Kreis; Ziwei Liu 002; Antonio Torralba 001; Sanja Fidler; Seung Wook Kim 001; Huan Ling (NeurIPS, 2024)

Comp4D: LLM-Guided Compositional 4D Scene Generation. - Dejia Xu; Hanwen Liang; Neel P. Bhatt; Hezhen Hu; Hanxue Liang; Konstantinos N. Plataniotis; Zhangyang Wang (CoRR, 2024)

Evolutive Rendering Models. - Fangneng Zhan; Hanxue Liang; Yifan Wang 011; Michael Niemeyer; Michael Oechsle; Adam Kortylewski; Cengiz Öztireli; Gordon Wetzstein; Christian Theobalt (CoRR, 2024)

L4GM: Large 4D Gaussian Reconstruction Model. - Jiawei Ren 001; Kevin Xie; Ashkan Mirzaei; Hanxue Liang; Xiaohui Zeng; Karsten Kreis; Ziwei Liu 002; Antonio Torralba 001; Sanja Fidler; Seung Wook Kim 001; Huan Ling (CoRR, 2024)

SCube: Instant Large-Scale Scene Reconstruction using VoxSplats. - Xuanchi Ren; Yifan Lu; Hanxue Liang; Zhangjie Wu; Huan Ling; Mike Chen; Sanja Fidler; Francis Williams; Jiahui Huang (CoRR, 2024)

Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos. - Hanxue Liang; Jiawei Ren 001; Ashkan Mirzaei; Antonio Torralba 001; Ziwei Liu 002; Igor Gilitschenski; Sanja Fidler; Cengiz Öztireli; Huan Ling; Zan Gojcic; Jiahui Huang (CoRR, 2024)

Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views. - Hanxue Liang; Tianhao Wu 003; Param Hanji; Francesco Banterle; Hongyun Gao 001; Rafal Mantiuk; A. Cengiz Öztireli (Comput. Graph. Forum, 2024)

NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods. - Qiang Qu; Hanxue Liang; Xiaoming Chen 006; Yuk Ying Chung; Yiran Shen 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey. - Jiahui Zhang; Yuelei Li; Anpei Chen; Muyu Xu; Kunhao Liu; Jianyuan Wang; Xiao-Xiao Long; Hanxue Liang; Zexiang Xu; Hao Su; Christian Theobalt; Christian Rupprecht 001; et al. (CoRR, 2025)