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20152026
most citedClass Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion

10 citations · 22 across the 28 of their papers we have counts for

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22 papers · 1 filter

cs.CV2026

Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing and Dual-Clue Consistency

Zhaofeng Shi, Heqian Qiu, Lanxiao Wang +4

Efficient adaptation between Egocentric (Ego) and Exocentric (Exo) views is crucial for applications such as human-robot cooperation. However, the success of most existing Ego-Exo…

cs.CV2026

SAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion

Xiang Li, Heqian Qiu, Lanxiao Wang +4

Error detection is crucial in industrial training, healthcare, and assembly quality control. Most existing work assumes a single-view setting and cannot handle the practical case w…

cs.CV2026

Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation

Chongyang Xu, Yixian Zou, Ziliang Feng +2

Diffusion-based visuomotor policies effectively capture multimodal action distributions through iterative denoising, but their high inference latency limits real-time robotic contr…

cs.CV2026

Continual Learning with Vision-Language Models via Semantic-Geometry Preservation

Chiyuan He, Zihuan Qiu, Fanman Meng +4

Continual learning of pretrained vision-language models (VLMs) is prone to catastrophic forgetting, yet current approaches adapt to new tasks without explicitly preserving the cros…

cs.CV2025

DFR: A Decompose-Fuse-Reconstruct Framework for Multi-Modal Few-Shot Segmentation

Shuai Chen, Fanman Meng, Xiwei Zhang +4

This paper presents DFR (Decompose, Fuse and Reconstruct), a novel framework that addresses the fundamental challenge of effectively utilizing multi-modal guidance in few-shot segm…

cs.CV2025

SS-DC: Spatial-Spectral Decoupling and Coupling Across Visible-Infrared Gap for Domain Adaptive Object Detection

Xiwei Zhang, Chunjin Yang, Yiming Xiao +2

Unsupervised domain adaptive object detection (UDAOD) from the visible domain to the infrared (RGB-IR) domain is challenging. Existing methods regard the RGB domain as a unified do…