| 2024 | Continual Learning Improves Zero-Shot Action Recognition. | Shreyank N. Gowda, Davide Moltisanti, Laura Sevilla-Lara |
| 2024 | D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations. | Cameron Gordon, Lachlan E. MacDonald, Hemanth Saratchandran, Simon Lucey |
| 2024 | Learning Non-uniform Step Sizes for Neural Network Quantization. | Shinya Gongyo, Jinrong Liang, Mitsuru Ambai, Rei Kawakami, Ikuro Sato |
| 2024 | Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders. | Jongmin Gim, Jihun Park, Kyoungmin Lee, Sunghoon Im |
| 2024 | Direct Alignment for Robust NeRF Learning. | Ravi Garg, Shin-Fang Ch'ng, Simon Lucey |
| 2024 | Scene-Adaptive SVAD Based On Multi-modal Action-Based Feature Extraction. | Shibo Gao, Peipei Yang, Linlin Huang |
| 2024 | Mamba-Based Light Field Super-Resolution with Efficient Subspace Scanning. | Ruisheng Gao, Zeyu Xiao, Zhiwei Xiong |
| 2024 | PSG-Adapter: Controllable Planning Scene Graph for Improving Text-to-Image Diffusion. | Yi Gao |
| 2024 | Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification. | Takuto Fukushima, Ryusuke Miyamoto |
| 2024 | Auxiliary Domain-Guided Adaptive Object Detection in Adverse Weather Conditions. | Zhuobin Fu, Kan Chang, Mingyang Ling, Qingzhi Zhang, Enze Qi |
| 2024 | Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion. | Aiman Farooq, Utkarsh Sharma, Deepak Mishra |
| 2024 | A Comparative Study on Diffusion Sampling Methods Across Diverse Medical Imaging Modalities. | Muhammad Ali Farooq, Ayman Abaid, Ihsan Ullah, Peter Corcoran |
| 2024 | Improve Model Robustness in Less Time Than It Takes to Drink A Cup of Coffee with Plug-and-Play Robustness Plugins. | Jiang Fang, Zhicheng Zhang, Jiyan Sun, Jiadong Fu, Haonan He, Yinlong Liu, Wei Ma |
| 2024 | Efficient Implicit SDF and Color Reconstruction via Shared Feature Field. | Shuangkang Fang, Dacheng Qi, Weixin Xu, Yufeng Wang, Zehao Zhang, Xiaorong Zhang, Huayu Zhang, Zeqi Shao, Wenrui Ding |
| 2024 | OmniFusion: Exemplar-Based Video Colorization Using OmniMotion and DifFusion Priors. | Xiaoyuan Fang, Longquan Dai, Jinhui Tang |
| 2024 | Learning Classwise Untangled Continuums for Conditional Normalizing Flows. | Victor Enescu, Hichem Sahbi |
| 2024 | MV2MP: Segmentation Free Performance Capture of Humans in Direct Physical Contact from Sparse Multi-Cam Setups. | Sergei Eliseev, Leonid Shtanko, Rasim Akhunzianov, Yaroslav Romanenko, Anatoly Starostin |
| 2024 | RW-SVD: A Surround View Rough Weather Video Anomaly Dataset and a Brief Overview of Existing Datasets. | Sachin Dube, Dinesh Kumar Tyagi, Ramesh Babu Battula |
| 2024 | FSGait: Fine-Grained Self-supervised Gait Abnormality Detection. | Bingzhi Duan, Xiaoyue Wan, Xu Zhao |
| 2024 | LocoMotion: Learning Motion-Focused Video-Language Representations. | Hazel Doughty, Fida Mohammad Thoker, Cees G. M. Snoek |
| 2024 | Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion. | Kenji Doi, Shuntaro Okada, Ryota Yoshihashi, Hirokatsu Kataoka |
| 2024 | BootsTAP: Bootstrapped Training for Tracking-Any-Point. | Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, Joo Carreira, Andrew Zisserman |
| 2024 | Adaptive Dual Attention into Diffusion for 3D Medical Image Segmentation. | Nhu-Tai Do, Van-Hung Bui, Quoc-Huy Nguyen |
| 2024 | TAPS: Temporal Attention-Based Pruning and Scaling for Efficient Video Action Recognition. | Yonatan Dinai, Avraham Raviv, Nimrod Harel, Donghoon Kim, Ishay Goldin, Niv Zehngut |
| 2024 | Hybrid and Non-minimal Planar Motion Estimation from Point Correspondences. | Juan Carlos Dibene, Enrique Dunn |