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cs.CV2024

Decoupling Dynamic Monocular Videos for Dynamic View Synthesis

Meng You, Junhui Hou

The challenge of dynamic view synthesis from dynamic monocular videos, i.e., synthesizing novel views for free viewpoints given a monocular video of a dynamic scene captured by a m…

cs.CV2024

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…

cs.CV2024

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation

Yifan Zhang, Qijian Zhang, Zhiyu Zhu +2

The inherent ambiguity in ground-truth annotations of 3D bounding boxes, caused by occlusions, signal missing, or manual annotation errors, can confuse deep 3D object detectors dur…

cs.CV2024

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…

cs.CV2024

Deep Diversity-Enhanced Feature Representation of Hyperspectral Images

Jinhui Hou, Zhiyu Zhu, Junhui Hou +3

In this paper, we study the problem of efficiently and effectively embedding the high-dimensional spatio-spectral information of hyperspectral (HS) images, guided by feature divers…