| 2024 | Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining. | Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen |
| 2024 | Combinatorial Causal Bandits without Graph Skeleton. | Shi Feng, Nuoya Xiong, Wei Chen |
| 2024 | Constructing a Knowledge-Guided Mental Health Chatbot with LLMs. | Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen |
| 2024 | A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information. | Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang |
| 2024 | MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures. | Jiajun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin |
| 2024 | Motion meets Attention: Video Motion Prompts. | Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon |
| 2024 | FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion. | Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan, Xincheng Lin, Shuqi Fan, Siqi Shen |
| 2024 | Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL. | Nicolas Bougie, Narimasa Watanabe |
| 2024 | EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. | Siddharth Aravindan, Dixant Mittal, Wee Sun Lee |
| 2024 | Countering Relearning with Perception Revising Unlearning. | Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu |
| 2024 | Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes. | Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao |
| 2024 | Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics. | Hanwei Zhang, Felipe Torres Figueroa, Holger Hermanns |
| 2023 | FasterVoxelPose+: Fast and Accurate Voxel-based 3D Human Pose Estimation by Depth-wise Projection Decay. | Zonghuang Zhuang, Yue Zhou |
| 2023 | A Corrected Expected Improvement Acquisition Function Under Noisy Observations. | Han Zhou, Xingchen Ma, Matthew B. Blaschko |
| 2023 | Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy. | Limin Zheng, Hongyu Chen, Lu Qing, Jian Zhuang, Bo Meng, Xiaowei Xu |
| 2023 | Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning. | Yuxi Zheng, Yongjun Zhang, Chenran Zhao, Huanhuan Yang, Tongyue Li, Qianying Ouyang, Ying Chen |
| 2023 | Revisiting Structured Dropout. | Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao |
| 2023 | Self-supervised Example Difficulty Balancing for Local Descriptor Learning. | Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqin Cao, Yaoqi Du, Yiwen Wei |
| 2023 | Graph Contrastive Learning with Group Whitening. | Chunhui Zhang, Rui Miao |
| 2023 | Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset. | Guoxing Zhang, Qiuping Li, Yiming Liu, Zhanpeng Wang, Yuanqi Chen, Wenrui Cai, Weiye Zhang, Bingting Guo, Zhi Zeng, Jiasong Zhu |
| 2023 | Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks. | Acong Zhang, Ping Li |
| 2023 | Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise. | Zhenkai Zhang, Krista A. Ehinger, Tom Drummond |
| 2023 | Cell Variational Information Bottleneck Network. | Zhonghua Zhai |
| 2023 | A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification. | Zikang Yu, Hongbin Dong, Tianyu Guo, Bingxu Zhao |
| 2023 | DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks. | Mina Yazdani, Hamed Karimi, Reza Samavi |