Can Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Hybrid Vector-Occupancy Field for Robust Implicit 3D Surface Reconstruction. | Yue Wu, Zhigang Gao, Tengfei Xiao, Can Qin, Yongzhe Yuan, Hao Li, Kaiyuan Feng, Wenping Ma |
| 2026 | AAAI | DcSplat: Dual-Constraint Human Gaussian Splatting with Latent Multi-View Consistency. | Tengfei Xiao, Yue Wu, Zhigang Gao, Yongzhe Yuan, Can Qin, Hao Li, Mingyang Zhang |
| 2025 | ACL | Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding. | Kung-Hsiang Huang, Can Qin, Haoyi Qiu, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu |
| 2025 | CVPR | DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models. | Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang |
| 2025 | CVPR | Disentangled Pose and Appearance Guidance for Multi-Pose Generation. | Tengfei Xiao, Yue Wu, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma |
| 2025 | ICCV | Structured Policy Optimization: Enhance Large Vision-Language Model via Self-Referenced Dialogue. | Guohao Sun, Can Qin, Yihao Feng, Zeyuan Chen, Ran Xu, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao |
| 2025 | ICCV | BLIP-3: A Family of Open Large Multimodal Models. | Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2024 | AAAI | 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 |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. | Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao |
| 2024 | EMNLP | Self-Training Large Language and Vision Assistant for Medical Question Answering. | Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICDM | Momentum is All You Need for Data-Driven Adaptive Optimization. | Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu |
| 2023 | ICLR | Image as Set of Points. | Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu |
| 2022 | CIKM | Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. | Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu |
| 2022 | CIKM | Robust Semi-supervised Domain Adaptation against Noisy Labels. | Can Qin, Yizhou Wang, Yun Fu |
| 2022 | ICDM | Making Reconstruction-based Method Great Again for Video Anomaly Detection. | Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu |
| 2022 | ICLR | Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. | Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu |
| 2022 | ICLR | Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. | Yulun Zhang, Huan Wang, Can Qin, Yun Fu |
| 2022 | IJCAI | MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. | Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu |
| 2022 | IJCAI | Recent Advances on Neural Network Pruning at Initialization. | Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu |
| 2022 | KDD | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. | Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu |
| 2021 | ICCV | Context Reasoning Attention Network for Image Super-Resolution. | Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu |
| 2021 | ICDM | Aspect-based Sentiment Classification via Reinforcement Learning. | Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu |
| 2021 | ICLR | Neural Pruning via Growing Regularization. | Huan Wang, Can Qin, Yulun Zhang, Yun Fu |
| 2021 | SDM | Contradictory Structure Learning for Semi-supervised Domain Adaptation. | Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu |
| 2020 | AAAI | Dual Relation Semi-Supervised Multi-Label Learning. | Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu |
| 2020 | CVPR | Face Recognition: Too Bias, or Not Too Bias? | Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner |
| 2020 | ECCV | Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. | Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu |
| 2018 | AAAI | Efficient Scene Labeling via Sparse Annotations. | Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang |
| 2017 | CIS | Local Probabilistic Matrix Factorization for Personal Recommendation. | Wenping Ma, Yue Wu, Maoguo Gong, Can Qin, Shanfeng Wang |
| 2017 | CIS | A Multi-objective Framework for Location Recommendation Based on User Preference. | Shanfeng Wang, Maoguo Gong, Can Qin, Junwei Yang |