Lang, Congyan

11 publications

CVPR 2025 A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering Zheming Xu, He Liu, Congyan Lang, Tao Wang, Yidong Li, Michael C. Kampffmeyer

ICCV 2025 Dynamic Dictionary Learning for Remote Sensing Image Segmentation Xuechao Zou, Yue Li, Shun Zhang, Kai Li, Shiying Wang, Pin Tao, Junliang Xing, Congyan Lang

ICCV 2025 Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning Xinyu Sun, Zhikun Zhao, Congyan Lang, Bing Li, Juan Wang

NeurIPS 2024 DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling

NeurIPS 2024 Generated and Pseudo Content Guided Prototype Refinement for Few-Shot Point Cloud Segmentation Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu

AAAI 2024 RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo

AAAI 2019 Partial Multi-Label Learning by Low-Rank and Sparse Decomposition Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin

ICCV 2017 Robust Object Tracking Based on Temporal and Spatial Deep Networks Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin

ECCV 2016 Branching Path Following for Graph Matching Tao Wang, Haibin Ling, Congyan Lang, Jun Wu

AAAI 2013 Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition Houwen Peng, Bing Li, Rongrong Ji, Weiming Hu, Weihua Xiong, Congyan Lang

ECCV 2012 Depth Matters: Influence of Depth Cues on Visual Saliency Congyan Lang, Tam V. Nguyen, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Shuicheng Yan