120 citations · 314 across the 10 of their papers we have counts for
11 papers
View-on-Graph: Zero-shot 3D Visual Grounding via Vision-Language Reasoning on Scene Graphs
Yuanyuan Liu, Haiyang Mei, Dongyang Zhan +4
3D visual grounding (3DVG) identifies objects in 3D scenes from language descriptions. Existing zero-shot approaches leverage 2D vision-language models (VLMs) by converting 3D spat…
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition
Yang Wang, Haiyang Mei, Qirui Bao +5
We introduce a novel multimodality synergistic knowledge distillation scheme tailored for efficient single-eye motion recognition tasks. This method allows a lightweight, unimodal…
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
Zongbo Han, Zechen Bai, Haiyang Mei +3
Recent advancements in large vision-language models (LVLMs) have demonstrated impressive capability in visual information understanding with human language. Despite these advances,…
Exploiting Polarized Material Cues for Robust Car Detection
Wen Dong, Haiyang Mei, Ziqi Wei +4
Car detection is an important task that serves as a crucial prerequisite for many automated driving functions. The large variations in lighting/weather conditions and vehicle densi…
Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance
Yang Wang, Bo Dong, Yuji Zhang +4
Autonomous obstacle avoidance is of vital importance for an intelligent agent such as a mobile robot to navigate in its environment. Existing state-of-the-art methods train a spiki…
Large-Field Contextual Feature Learning for Glass Detection
Haiyang Mei, Xin Yang, Letian Yu +3
Glass is very common in our daily life. Existing computer vision systems neglect it and thus may have severe consequences, e.g., a robot may crash into a glass wall. However, sensi…
Progressive Glass Segmentation
Letian Yu, Haiyang Mei, Wen Dong +4
Glass is very common in the real world. Influenced by the uncertainty about the glass region and the varying complex scenes behind the glass, the existence of glass poses severe ch…
A Two-Stage Attentive Network for Single Image Super-Resolution
Jiqing Zhang, Chengjiang Long, Yuxin Wang +4
Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution (SISR) and contribute remarkable progress. However, most of the exist…
Camouflaged Object Segmentation with Distraction Mining
Haiyang Mei, Ge-Peng Ji, Ziqi Wei +3
Camouflaged object segmentation (COS) aims to identify objects that are "perfectly" assimilate into their surroundings, which has a wide range of valuable applications. The key cha…
DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors
Xin Yang, Haiyang Mei, Jiqing Zhang +4
Recently, single-image super-resolution has made great progress owing to the development of deep convolutional neural networks (CNNs). The vast majority of CNN-based models use a p…
Where Is My Mirror?
Xin Yang, Haiyang Mei, Ke Xu +3
Mirrors are everywhere in our daily lives. Existing computer vision systems do not consider mirrors, and hence may get confused by the reflected content inside a mirror, resulting…