| 2024 | Time-conditioned Illumination for Inverse Rendering of Outdoor Scenes. | Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang |
| 2024 | Towards Generative Class Prompt Learning for Fine-grained Visual Recognition. | Soumitri Chattopadhyay, Sanket Biswas, Emanuele Vivoli, Josep Llads |
| 2024 | Y-Net: Fusing fMRI and Natural Scenes to Generate Neuro-Interpretable Heat Maps. | Subhrasankar Chatterjee, Debasis Samanta, Monalisa Sarma |
| 2024 | GlowNet: A Lightweight Attention based Self-Guided Deep Neural Network for Low-Light Image Enhancement. | Abhiroop Chatterjee, Susmita Ghosh, Ashish Ghosh |
| 2024 | JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation. | Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Dimitris Samaras |
| 2024 | The Attempt on Combining Three Talents by KD with Enhanced Boundary in Co-Salient Object Detection. | Ziyi Cao, Shengye Yan, Wei Zheng |
| 2024 | DRAFT: Direct Radiance Fields Editing with Composable Operations. | Zhihan Cai, Kailu Wu, Dapeng Cao, Feng Chen, Kaisheng Ma |
| 2024 | Align-DETR: Enhancing End-to-end Object Detection with Aligned Loss. | Zhi Cai, Songtao Liu, Guodong Wang, Zeming Li, Zheng Ge, Xiangyu Zhang, Di Huang |
| 2024 | Multi-Modal Information Bottleneck Attribution with Cross-Attention Guidance. | Pauline Bourigault, Emmanuelle Bourigault, Danilo P. Mandic |
| 2024 | UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. | Daniel Bogdoll, Nol Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | Hybrid Video Anomaly Detection for Autonomous Driving. | Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska, J. Marius Zllner |
| 2024 | SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction. | Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin |
| 2024 | 3D Point Cloud Network Pruning: When Some Weights Do not Matter. | Amrijit Biswas, Md. Ismail Hossain, Mirza M. Lutfe Elahi, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman |
| 2024 | Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures. | Kuluhan Binici, Weiming Wu, Tulika Mitra |
| 2024 | ACIL: Active Class Incremental Learning for Image Classification. | Aditya R. Bhattacharya, Debanjan Goswami, Shayok Chakraborty |
| 2024 | AUPIMO: Redefining Anomaly Localization Benchmarks with High Speed and Low Tolerance. | Joo P. C. Bertoldo, Dick Ameln, Ashwin Vaidya, Samet Akcay |
| 2024 | Horospherical Learning with Smart Prototypes. | Paul Berg, Bjrn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty |
| 2024 | InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. | Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian |
| 2024 | Deep Learning for GPS-Denied SAR Image Focusing and Vehicle Trajectory Estimation. | Christopher Beam, Andrew R. Willis, Kevin M. Brink |
| 2024 | Uni-Mlip: Unified Self-Supervision for Medical Vision Language Pre-training. | Ameera Ali Bawazir, Kebin Wu, Wenbin Li |
| 2024 | AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. | Krzysztof Baron-Lis, Matthias Rottmann, Annika Mtze, Sina Honari, Pascal Fua, Mathieu Salzmann |
| 2024 | From Black-box to Label-only: a Plug-and-Play Attack Network for Model Inversion. | Huan Bao, Kaimin Wei, Yao Chen, Hanting Hou, Jinpeng Chen, Yongdong Wu |
| 2024 | PV-SLAM: Panoptic Visual SLAM with Loop Closure and Online Bundle Adjustment. | Ashok Bandyopadhyay, Pranjal Baranwal, Arijit Sur, U. P. Rajeev |
| 2024 | IncreLM: Incremental 3D Line Mapping. | Xulong Bai, Hainan Cui, Shuhan Shen |
| 2024 | Learning to Project for Cross-Task Knowledge Distillation. | Dylan Auty, Roy Miles, Benedikt Kolbeinsson, Krystian Mikolajczyk |