65 citations · 96 across the 13 of their papers we have counts for
11 papers · 1 filter
Causal Bootstrapped Alignment for Unsupervised Video-Based Visible-Infrared Person Re-Identification
Shuang Li, Jiaxu Leng, Changjiang Kuang +3
VVI-ReID is a critical technique for all-day surveillance, where temporal information provides additional cues beyond static images. However, existing approaches rely heavily on fu…
Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining
Yuqi Ji, Junjie Ke, Lihuo He +2
Existing object detectors often struggle to generalize across domains while adapting to emerging novel categories. Adaptive open-set object detection (AOOD) addresses this challeng…
Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective
Songsong Duan, Xi Yang, Nannan Wang +1
Current RGB-D methods usually leverage large-scale backbones to improve accuracy but sacrifice efficiency. Meanwhile, several existing lightweight methods are difficult to achieve…
StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning
Huaijie Wang, De Cheng, Guozhang Li +5
Video Class-Incremental Learning (VCIL) seeks to develop models that continuously learn new action categories over time without forgetting previously acquired knowledge. Unlike tra…
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Information
Kaifan Zhang, Lihuo He, Xin Jiang +3
Electroencephalogram (EEG) signals have attracted significant attention from researchers due to their non-invasive nature and high temporal sensitivity in decoding visual stimuli.…
AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity
Jili Xia, Lihuo He, Fei Gao +3
Recently, AI-generated images (AIGIs) created by given prompts (initial prompts) have garnered widespread attention. Nevertheless, due to technical nonproficiency, they often suffe…
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection
Ke Li, Fuyu Dong, Di Wang +4
Remote sensing change detection aims to perceive changes occurring on the Earth's surface from remote sensing data in different periods, and feed these changes back to humans. Howe…
Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection
Mingjin Zhang, Chi Zhang, Qiming Zhang +3
Recent advancements in deep learning have greatly advanced the field of infrared small object detection (IRSTD). Despite their remarkable success, a notable gap persists between th…
Non-target Divergence Hypothesis: Toward Understanding Domain Gaps in Cross-Modal Knowledge Distillation
Yilong Chen, Zongyi Xu, Xiaoshui Huang +4
Compared to single-modal knowledge distillation, cross-modal knowledge distillation faces more severe challenges due to domain gaps between modalities. Although various methods hav…
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation
Yilong Chen, Zongyi Xu, xiaoshui Huang +3
Weakly supervised LiDAR semantic segmentation has made significant strides with limited labeled data. However, most existing methods focus on the network training under weak superv…
Transfer Adaptation Learning: A Decade Survey
Lei Zhang, Xinbo Gao
The world we see is ever-changing and it always changes with people, things, and the environment. Domain is referred to as the state of the world at a certain moment. A research pr…