Weiye Xu, Min Wang, Wengang Zhou, and Houqiang Li, “P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task,” Accept to ACM International Conference on Multimedia (MM), July 2024.
Longtao Jiang, Min Wang, Wengang Zhou, Zecheng Li, Yao Fang, and Houqiang Li, “SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval,” Accept to ACM International Conference on Multimedia (MM), July 2024.
Xiaohan Lei, Min Wang, Wengang Zhou, Li Li, and Houqiang Li, “Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation”, Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), February 2024.
Yongchao Du, Min Wang, Wengang Zhou, Shuping Hui, and Houqiang Li, “Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval,” Accepted to International Conference on Learning Representations (ICLR), January 2024.
Min Wang, Wengang Zhou, Xin Yao, Qi Tian, and Houqiang Li, “Towards Codebook-free Deep Probabilistic Quantization for Image Retrieval,” Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), October 2023.
Hui Wu, Min Wang, Wengang Zhou, and Houqiang Li, “Structure Similarity Preservation Learning for Asymmetric Image Retrieval,” Accepted to IEEE Transactions on Multimedia (TMM), October 2023.
Yongchao Du, Min Wang, Wengang Zhou, and Houqiang Li, “Progressive Similarity Preservation Learning for Deep Scalable Product Quantization,” Accepted to IEEE Transactions on Multimedia (TMM), Agust 2023.
Hui Wu, Min Wang, Wengang Zhou, Zhenbo Lu, and Houqiang Li, “Asymmetric Feature Fusion for Image Retrieval,” Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), February 2023.
Yongchao Du, Min Wang, Wengang Zhou, Zhenbo Lu, and Houqiang Li, “Weakly Supervised Hashing with Reconstructive Cross-modal Attention,” Accepted to ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), February 2023.
Xin Yao, Min Wang, Wengang Zhou, and Houqiang Li, “Hash Bit Selection with Reinforcement Learning for Image Retrieval,” Accepted to IEEE Transactions on Multimedia (TMM), September 2022.
Hui Wu, Min Wang, Wengang Zhou, and Houqiang Li, “Rank Preserving Framework for Asymmetric Image Retrieval,” Accepted to International Conference on Learning Representations (ICLR), January 2023.
Hui Wu, Min Wang, Wengang Zhou, Yang Hu, and Houqiang Li, “Learning Token-based Representation for Image Retrieval,” Accepted to AAAI Conference on Artificial Intelligence (AAAI), 2022.
Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Graph Convolutional Quantization Networks for Image Retrieval,” Accepted to IEEE Transactions on Multimedia (TMM), January 2022.
Hui Wu, Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Contextual Similarity Distillation for Asymmetric Image Retrieval,” Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Jianbo Ouyang, Hui Wu, Min Wang, Wengang Zhou, and Houqiang Li, “Contextual Similarity Aggregation with Self-attention for Visual Re-ranking,” Accepted to The Conference on Neural Information Processing Systems (NeurIPS), 2021.
Hui Wu, Min Wang, Wengang Zhou, and Houqiang Li, “Learning Deep Local Features with Multiple Dynamic Attentions for Large-Scale Image Retrieval,” International Conference on Computer Vision (ICCV), pp. 11416-11425, 2021.
Yuchen Yang, Min Wang, Wengang Zhou, and Houqiang Li, “Cross-modal Joint Prediction and Alignment for Composed Query Image Retrieval,” ACM International Conference on Multimedia (ACM MM), pp. 3303-3311, 2021.
Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Enhanced Weakly-Supervised Hashing with Iterative Tag Refinement,” Accepted to IEEE Transactions on Multimedia (TMM), May 2021.
Yifan Zhang, Wengang Zhou, Min Wang, Qi Tian, and Houqiang Li, “Deep Relation Embedding for Cross-Modal Retrieval,” IEEE Transactions on Image Processing (TIP), 30: 617-627, 2021.
Jianbo Ouyang, Wengang Zhou,Min Wang, Qi Tian, and Houqiang Li, “Collaborative Image Relevance Learning for Visual Re-ranking,” IEEE Transactions on Multimedia (TMM), 23: 3646-3656, 2021.
Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Neighborhood Pyramid Preserving Hashing,” IEEE Transactions on Multimedia (TMM), 22(6): 1507-1518, 2020.
Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Scalable Supervised Quantization by Self-Organizing Map,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), vol. 15, no. 3, pp. 1-18, 2019.
Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “A General Framework for Linear Distance Preserving Hashing,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 2, pp. 907-922, 2018.
Min Wang, Wengang Zhou, Qi Tian, Junfu Pu, and Houqiang Li, “Deep Supervised Quantization by Self-Organized Map,” ACM International Conference on Multimedia (MM), Long Paper, 2017.
Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Sparse Matrix based Hashing for Approximate Nearest Neighbor Search,” Pacific-Rim Conference on Multimedia (PCM), pp. 559-568, June 2016.
Min Wang, Wengang Zhou, Qi Tian, Zheng-jun Zha, and Houqiang Li, “Linear Distance Preserving Pseudo-Supervised and Unsupervised Hashing,” ACM International Conference on Multimedia (MM), pp. 1257-1266, long paper, 1257-1266, 2016.