activity
20192026
most citedA Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds

122 citations · 300 across the 25 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution

Qiongyang Hu, Wenyang Liu, Wenbin Zou +3

Existing deep learning approaches for image super-resolution, particularly those based on CNNs and attention mechanisms, often suffer from structural inflexibility. Although graph-…

cs.CV2025

EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric Optimization

Xiaoqi Wang, Yi Wang, Lap-Pui Chau

Egocentric video-language understanding demands both high efficiency and accurate spatial-temporal modeling. Existing approaches face three key challenges: 1) Excessive pre-trainin…

cs.CV2025

3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection

Yi Zhang, Yi Wang, Yawen Cui +1

This paper proposes 3DGeoDet, a novel geometry-aware 3D object detection approach that effectively handles single- and multi-view RGB images in indoor and outdoor environments, sho…

cs.CV2025

Egocentric Human-Object Interaction Detection: A New Benchmark and Method

Kunyuan Deng, Yi Wang, Lap-Pui Chau

Egocentric human-object interaction (Ego-HOI) detection is crucial for intelligent agents to understand and assist human activities from a first-person perspective. However, progre…

cs.CV2025

OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework

Junliang Chen, Huaiyuan Xu, Yi Wang +1

Predicting variations in complex traffic environments is crucial for the safety of autonomous driving. Recent advancements in occupancy forecasting have enabled forecasting future…

cs.CV2025★ 1 cited

Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition

Ying Zheng, Yiyi Zhang, Yi Wang +1

Source-free domain adaptation in visual emotion recognition (SFDA-VER) is a highly challenging task that requires adapting VER models to the target domain without relying on source…