Zhengqi Pei, Anran Zhang, Shuhui Wang, Qingming Huang. Modeling Language Tokens as Functionals of Semantic Fields. International Conference on Machine Learning (ICML), pp. 40114-40128, Vienna, Austria, Jul 21-27, 2024.
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Hongyu Liu, Runmin Cong, Hua Li, Qianqian Xu, Qingming Huang, Wei Zhang. ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection. International Conference on Machine Learning (ICML), pp. 30892-30907, Vienna, Austria, Jul 21-27, 2024.
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Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang. Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. International Conference on Machine Learning (ICML), pp. 28989-29021, Vienna, Austria, Jul 21-27, 2024.
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Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. International Conference on Machine Learning (ICML), pp. 56624-56664, Vienna, Austria, Jul 21-27, 2024.
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Zhengqi Pei, Anran Zhang, Shuhui Wang, Xiangyang Ji, Qingming Huang. Data-free Neural Representation Compression with Riemannian Neural Dynamics. International Conference on Machine Learning (ICML), pp. 40129-40144, Vienna, Austria, Jul 21-27, 2024.
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Zhedong Zhang, Liang Li, Jiehua Zhang, Zhenghui Hu, Hongkui Wang, Chenggang Yan, Jiang Yang, and Yuankai Qi. Generating High-Quality Symbolic Music Using Fine-Grained Discriminators. International Conference on Pattern Recognition (ICPR), pp. 332-344, Kolkata, India, Dec.1-5, 2024.
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Yuanyuan Xu, Meina Kan, Shiguang Shan, Xilin Chen. Collaborative Domain Alignment for Multi-Source Domain Adaptation. International Conference on Pattern Recognition (ICPR), pp. 192-207, Kolkata, India, Dec.1-5, 2024.
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Ce Wang, Xiaoyu Huang, Yaqing Kong, Qian Li, You Hao & Xiang Zhou. 3DGPS: A 3D Differentiable-Gaussian-Based Planning Strategy for Liver Tumor Cryoablation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 3-13, Marrakesh, Morocco, Oct. 6–10, 2024.
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Xingming Long, Jie Zhang, Shiguang Shan, Xilin Chen. Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Xinyao Yu, Sixian Zhang, Xinhang Song, Xiaorong Qin, Shuqiang Jiang. Trajectory Diffusion for ObjectGoal Navigation. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang. Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang. Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang. AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Junshu Sun, Chenxue Yang, Xiangyang Ji, Qingming Huang, Shuhui Wang. Towards Dynamic Message Passing on Graphs. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li. Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang. Expanding Sparse Tuning for Low Memory Usage. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Jiachen Liang, Ruibing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen. UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu, Yaowei Wang, Shiguang Shan. M3GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.
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Yewei Zhao, Hu Han, Shiguang Shan, and Xilin Chen. Deep subdomain alignment for cross-domain image classification. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2808-2817, Waikoloa, Hawaii, USA, Jan. 1-8, 2024.
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Qiyang Wan, Ruiping Wang, Xilin Chen. Interpretable Object Recognition by Semantic Prototype Analysis. IEEE/CVF Winter Conference of Applications on Computer Vision (WACV), pp. 800-809, Waikoloa, HI, Jan. 4-8, 2024.
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