Qin, Can

26 publications

TMLR 2026 A Survey of Token Compression for Efficient Multimodal Large Language Models Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang

CVPR 2025 Disentangled Pose and Appearance Guidance for Multi-Pose Generation Tengfei Xiao, Yue Wu, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma

CVPR 2025 DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang

NeurIPS 2025 HoliTom: Holistic Token Merging for Fast Video Large Language Models Kele Shao, Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang

ICCV 2025 Structured Policy Optimization: Enhance Large Vision-Language Model via Self-Referenced Dialogue Guohao Sun, Can Qin, Yihao Feng, Zeyuan Chen, Ran Xu, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao

CVPR 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu

AAAI 2024 M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin

ECCV 2024 SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant Guohao Sun, Can Qin, Jiaminan Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao

ECCVW 2024 xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

ICCV 2023 GlueGen: Plug and Play Multi-Modal Encoders for X-to-Image Generation Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu

ICLR 2023 Image as Set of Points Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu

CVPR 2023 Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations Vibashan Vs, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu

NeurIPS 2023 UniControl: A Unified Diffusion Model for Controllable Visual Generation in the Wild Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu

ICLR 2022 Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning Yulun Zhang, Huan Wang, Can Qin, Yun Fu

IJCAI 2022 MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu

IJCAI 2022 Recent Advances on Neural Network Pruning at Initialization Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu

ICLR 2022 Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu

NeurIPS 2021 Aligned Structured Sparsity Learning for Efficient Image Super-Resolution Yulun Zhang, Huan Wang, Can Qin, Yun Fu

ICCV 2021 Context Reasoning Attention Network for Image Super-Resolution Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu

ICLR 2021 Neural Pruning via Growing Regularization Huan Wang, Can Qin, Yulun Zhang, Yun Fu

NeurIPS 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu

AAAI 2020 Dual Relation Semi-Supervised Multi-Label Learning Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu

CVPRW 2020 Face Recognition: Too Bias, or Not Too Bias? Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner

ECCV 2020 Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu

ICCVW 2019 Generatively Inferential Co-Training for Unsupervised Domain Adaptation Can Qin, Lichen Wang, Yulun Zhang, Yun Fu

NeurIPS 2019 PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu