Papers
eTraM: Event-based Traffic Monitoring Dataset
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela et al.
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Yaofang Liu, Xiaodong Cun, Xuebo Liu et al.
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
Mengyu Dai, Amir Hossein Raffiee, Aashish Jain et al.
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
Jiaxuan Li, Duc Minh Vo, Akihiro Sugimoto et al.
EvDiG: Event-guided Direct and Global Components Separation
Xinyu Zhou, Peiqi Duan, Boyu Li et al.
Event-assisted Low-Light Video Object Segmentation
Hebei Li, Jin Wang, Jiahui Yuan et al.
Event-based Structure-from-Orbit
Ethan Elms, Yasir Latif, Tae Ha Park et al.
Event-based Visible and Infrared Fusion via Multi-task Collaboration
Mengyue Geng, Lin Zhu, Lizhi Wang et al.
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Christen Millerdurai, Hiroyasu Akada, Jian Wang et al.
EventPS: Real-Time Photometric Stereo Using an Event Camera
Bohan Yu, Jieji Ren, Jin Han et al.
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
Xiao Wang, Shiao Wang, Chuanming Tang et al.
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
Lei Fan, Mingfu Liang, Yunxuan Li et al.
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling
Rui Jiang, Fangwen Tu, Yixuan Long et al.
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation
Yingbo Zhou, Yutong Ye, Pengyu Zhang et al.
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu et al.
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
Rwiddhi Chakraborty, Adrian Sletten, Michael C. Kampffmeyer
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye et al.
Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users
Daniela Massiceti, Camilla Longden, Agnieszka Slowik et al.
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar et al.
Exploiting Diffusion Prior for Generalizable Dense Prediction
Hsin-Ying Lee, Hung-Yu Tseng, Hsin-Ying Lee et al.
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
Wenxiao Deng, Wenbin Li, Tianyu Ding et al.
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
Jongwook Choi, Taehoon Kim, Yonghyun Jeong et al.
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
Shiyan Chen, Jiyuan Zhang, Zhaofei Yu et al.
Exploring Orthogonality in Open World Object Detection
Zhicheng Sun, Jinghan Li, Yadong Mu