HFS: Hierarchical Feature Selection for Efficient Image Segmentation. - Ming-Ming Cheng; Yun Liu 011; Qibin Hou; Jiawang Bian; Philip H. S. Torr; Shi-Min Hu 001; Zhuowen Tu (ECCV (3), 2016)

GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence. - JiaWang Bian; Wen-Yan Lin; Yasuyuki Matsushita; Sai-Kit Yeung; Tan-Dat Nguyen; Ming-Ming Cheng (CVPR, 2017)

DEL: Deep Embedding Learning for Efficient Image Segmentation. - Yun Liu 011; Peng-Tao Jiang; Vahan Petrosyan; Shijie Li 006; Jiawang Bian; Le Zhang 001; Ming-Ming Cheng (IJCAI, 2018)

Semantic Edge Detection with Diverse Deep Supervision. - Yun Liu 011; Ming-Ming Cheng; Jia-Wang Bian; Le Zhang 001; Peng-Tao Jiang; Yang Cao 017 (CoRR, 2018)

Learning Pixel-wise Labeling from the Internet without Human Interaction. - Yun Liu 011; Yujun Shi; JiaWang Bian; Le Zhang 001; Ming-Ming Cheng; Jiashi Feng (CoRR, 2018)

MatchBench: An Evaluation of Feature Matchers. - JiaWang Bian; Ruihan Yang; Yun Liu 011; Le Zhang 001; Ming-Ming Cheng; Ian D. Reid 001; WenHai Wu (CoRR, 2018)

An Evaluation of Feature Matchers for Fundamental Matrix Estimation. - Jia-Wang Bian; Yu-Huan Wu; Ji Zhao 001; Yun Liu 011; Le Zhang 001; Ming-Ming Cheng; Ian Reid 001 (BMVC, 2019)

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. - Jiawang Bian; Zhichao Li; Naiyan Wang; Huangying Zhan; Chunhua Shen; Ming-Ming Cheng; Ian D. Reid 001 (NeurIPS, 2019)

Robust Regression via Deep Negative Correlation Learning. - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (CoRR, 2019)

An Evaluation of Feature Matchers forFundamental Matrix Estimation. - Jia-Wang Bian; Yu-Huan Wu; Ji Zhao 001; Yun Liu 011; Le Zhang 001; Ming-Ming Cheng; Ian D. Reid 001 (CoRR, 2019)

AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning. - Xin-Yu Zhang; Le Zhang 001; Zao-Yi Zheng; Yun Liu 011; Jia-Wang Bian; Ming-Ming Cheng (CoRR, 2019)

Richer Convolutional Features for Edge Detection. - Yun Liu 011; Ming-Ming Cheng; Xiaowei Hu 003; Jia-Wang Bian; Le Zhang 001; Xiang Bai; Jinhui Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Visual Odometry Revisited: What Should Be Learnt? - Huangying Zhan; Chamara Saroj Weerasekera; Jia-Wang Bian; Ian Reid 001 (ICRA, 2020)

Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue. - Jia-Wang Bian; Huangying Zhan; Naiyan Wang; Tat-Jun Chin; Chunhua Shen; Ian Reid 001 (CoRR, 2020)

GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. - Jia-Wang Bian; Wen-Yan Lin; Yun Liu 011; Le Zhang 001; Sai-Kit Yeung; Ming-Ming Cheng; Ian Reid 001 (Int. J. Comput. Vis., 2020)

NVSS: High-quality Novel View Selfie Synthesis. - Jia-Wang Bian; Huangying Zhan; Ian Reid 001 (3DV, 2021)

Diverse Knowledge Distillation for End-to-End Person Search. - Xinyu Zhang 015; Xinlong Wang; Jia-Wang Bian; Chunhua Shen; Mingyu You (AAAI, 2021)

DF-VO: What Should Be Learnt for Visual Odometry? - Huangying Zhan; Chamara Saroj Weerasekera; Jia-Wang Bian; Ravi Garg; Ian D. Reid 001 (CoRR, 2021)

Unsupervised Scale-Consistent Depth Learning from Video. - Jia-Wang Bian; Huangying Zhan; Naiyan Wang; Zhichao Li; Le Zhang 001; Chunhua Shen; Ming-Ming Cheng; Ian Reid 001 (Int. J. Comput. Vis., 2021)

Ordered or Orderless: A Revisit for Video Based Person Re-Identification. - Le Zhang 001; Zenglin Shi; Joey Tianyi Zhou; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Zeng Zeng; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Nonlinear Regression via Deep Negative Correlation Learning. - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Correction to "Nonlinear Regression via Deep Negative Correlation Learning". - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection. - Yun Liu 011; Xin-Yu Zhang 023; Jia-Wang Bian; Le Zhang 001; Ming-Ming Cheng (IEEE Trans. Image Process., 2021)

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior. - Wenjing Bian; Zirui Wang; Kejie Li; Jia-Wang Bian; Victor Adrian Prisacariu (CoRR, 2022)

Semantic Edge Detection with Diverse Deep Supervision. - Yun Liu 011; Ming-Ming Cheng; Deng-Ping Fan; Le Zhang 001; Jia-Wang Bian; Dacheng Tao (Int. J. Comput. Vis., 2022)

Auto-Rectify Network for Unsupervised Indoor Depth Estimation. - Jia-Wang Bian; Huangying Zhan; Naiyan Wang; Tat-Jun Chin; Chunhua Shen; Ian D. Reid 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MobileSal: Extremely Efficient RGB-D Salient Object Detection. - Yu-Huan Wu; Yun Liu 011; Jun Xu 019; Jia-Wang Bian; Yuchao Gu; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior. - Wenjing Bian; Zirui Wang; Kejie Li; Jia-Wang Bian (CVPR, 2023)

MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices. - Kejie Li; Jia-Wang Bian; Robert Castle; Philip H. S. Torr; Victor Adrian Prisacariu (CVPR, 2023)

Refinement for Absolute Pose Regression with Neural Feature Synthesis. - Shuai Chen; Yash Bhalgat; Xinghui Li; Jiawang Bian; Kejie Li; Zirui Wang; Victor Adrian Prisacariu (CoRR, 2023)

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios. - Kaichen Zhou; Jia-Xing Zhong; Jia-Wang Bian; Qian Xie 001; Jian-Qing Zheng; Niki Trigoni; Andrew Markham (CoRR, 2023)

Neural Refinement for Absolute Pose Regression with Feature Synthesis. - Shuai Chen; Yash Bhalgat; Xinghui Li; Jia-Wang Bian; Kejie Li; Zirui Wang; Victor Adrian Prisacariu (CVPR, 2024)

GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing. - Jing Wu; Jia-Wang Bian; Xinghui Li; Guangrun Wang; Ian D. Reid 001; Philip Torr 001; Victor Adrian Prisacariu (ECCV (14), 2024)

Porf: Pose residual field for accurate Neural surface Reconstruction. - Jia-Wang Bian; Wenjing Bian; Victor Adrian Prisacariu; Philip Torr 001 (ICLR, 2024)

When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. - Xianzheng Ma; Yash Bhalgat; Brandon Smart; Shuai Chen; Xinghui Li; Jian Ding 001; Jindong Gu; Dave Zhenyu Chen; Songyou Peng; Jia-Wang Bian; Philip H. S. Torr; Marc Pollefeys; et al. (CoRR, 2024)

SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. - Libo Sun; Jia-Wang Bian; Huangying Zhan; Wei Yin 006; Ian D. Reid 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Domain-agnostic Depth Completion. - Guangkai Xu; Wei Yin 006; Jianming Zhang 001; Oliver Wang; Simon Niklaus; Simon Chen; Jia-Wang Bian (Mach. Intell. Res., 2024)

Deep negative correlation classification. - Le Zhang 001; Qibin Hou; Yun Liu 011; Jia-Wang Bian; Xun Xu 002; Joey Tianyi Zhou; Ce Zhu (Mach. Learn., 2024)

Correction to: Deep negative correlation classification. - Le Zhang 001; Qibin Hou; Yun Liu 011; Jia-Wang Bian; Xun Xu 002; Joey Tianyi Zhou; Ce Zhu (Mach. Learn., 2025)

Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders. - Jingyu Guo; Sensen Gao; Jia-Wang Bian; Wanhu Sun; Heliang Zheng; Rongfei Jia; Mingming Gong (CoRR, 2025)

ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes. - Zhengqing Gao; Dongting Hu; Jia-Wang Bian; Huan Fu; Yan Li 099; Tongliang Liu; Mingming Gong; Kun Zhang 001 (CoRR, 2025)

Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs. - Haoyuan Li; Yanpeng Zhou; Yufei Gao; Tao Tang; Jianhua Han; Yu-Jie Yuan; Dave Zhenyu Chen; Jiawang Bian; Hang Xu 004; Xiaodan Liang (CoRR, 2025)

Revisiting Depth Representations for Feed-Forward 3D Gaussian Splatting. - Duochao Shi; Weijie Wang; Donny Y. Chen; Zeyu Zhang 006; Jia-Wang Bian; Bohan Zhuang; Chunhua Shen (CoRR, 2025)

RoboPearls: Editable Video Simulation for Robot Manipulation. - Tao Tang; Likui Zhang; Youpeng Wen; Kaidong Zhang; Jia-Wang Bian; Xia Zhou; Tianyi Yan; Kun Zhan; Peng Jia; Hefeng Wu; Liang Lin; Xiaodan Liang (CoRR, 2025)

SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting. - Zihui Gao; Jia-Wang Bian; Guosheng Lin; Hao Chen 034; Chunhua Shen (CoRR, 2025)

Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes. - Kaichen Zhou; Jia-Wang Bian; Jian-Qing Zheng; Jia-Xing Zhong; Qian Xie 001; Niki Trigoni; Andrew Markham (IEEE Robotics Autom. Lett., 2025)