1k citations · 3.4k across the 83 of their papers we have counts for
11 papers · 1 filter
Downstream-agnostic Adversarial Examples
Ziqi Zhou, Shengshan Hu, Ruizhi Zhao +4
Self-supervised learning usually uses a large amount of unlabeled data to pre-train an encoder which can be used as a general-purpose feature extractor, such that downstream users…
Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network
Xianqiang Lyu, Junhui Hou
This paper presents a novel and interpretable end-to-end learning framework, called the deep compensation unfolding network (DCUNet), for restoring light field (LF) images captured…
Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
Zhiyu Zhu, Junhui Hou, Dapeng Oliver Wu
This paper addresses the problem of cross-modal object tracking from RGB videos and event data. Rather than constructing a complex cross-modal fusion network, we explore the great…
Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection
Yifan Zhang, Zhiyu Zhu, Junhui Hou +1
The Detection Transformer (DETR) has revolutionized the design of CNN-based object detection systems, showcasing impressive performance. However, its potential in the domain of mul…
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
Xianqiang Lyu, Junhui Hou
The high-dimensional nature of the 4-D light field (LF) poses great challenges in achieving efficient and effective feature embedding, that severely impacts the performance of down…
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Qijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma +2
Geodesics are essential in many geometry processing applications. However, traditional algorithms for computing geodesic distances and paths on 3D mesh models are often inefficient…