4 citations · 9 across the 6 of their papers we have counts for
6 papers
Dynamic Resolution Routing for Efficient Egocentric Grounding
Huixin Sun, Wangbo Zhao, Fanyue Wei +3
Egocentric visual grounding requires high-resolution inputs to localize small objects. However, scaling Multimodal Large Language Models to this domain is constrained by the excess…
Noise-Robust Tiny Object Localization with Flows
Huixin Sun, Linlin Yang, Ronyu Chen +4
Despite significant advances in generic object detection, a persistent performance gap remains for tiny objects compared to normal-scale objects. We demonstrate that tiny objects a…
P4Q: Learning to Prompt for Quantization in Visual-language Models
Huixin Sun, Runqi Wang, Yanjing Li +4
Large-scale pre-trained Vision-Language Models (VLMs) have gained prominence in various visual and multimodal tasks, yet the deployment of VLMs on downstream application platforms…
Q-YOLO: Efficient Inference for Real-time Object Detection
Mingze Wang, Huixin Sun, Jun Shi +3
Real-time object detection plays a vital role in various computer vision applications. However, deploying real-time object detectors on resource-constrained platforms poses challen…
Uncertainty-Aware Gradient Stabilization for Small Object Detection
Huixin Sun, Yanjing Li, Linlin Yang +2
Despite advances in generic object detection, there remains a performance gap in detecting small objects compared to normal-scale objects. We reveal that conventional object locali…
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition
Yunhao Wang, Huixin Sun, Xiaodi Wang +6
Vision Transformer and its variants have demonstrated great potential in various computer vision tasks. But conventional vision transformers often focus on global dependency at a c…