Junhui Hou
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Explore the profile of Junhui Hou including associated specialties, affiliations and a list of published articles.
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63
Citations
209
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Recent Articles
1.
Lin G, Yang L, Liu Y, Zhang C, Hou J, Jin X, et al.
IEEE Trans Vis Comput Graph
. 2025 Mar;
PP.
PMID: 40030643
Neural implicit fields, such as the neural signed distance field (SDF) of a shape, have emerged as a powerful representation for many applications, e.g., encoding a 3D shape and performing...
2.
Feng W, Wang F, Han R, Gan Y, Qian Z, Hou J, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Sep;
47(1):351-368.
PMID: 39298301
Multi-view multi-human association and tracking (MvMHAT), is an emerging yet important problem for multi-person scene video surveillance, aiming to track a group of people over time in each view, as...
3.
Wu L, Hou J, Song L, Xu Y
IEEE Trans Vis Comput Graph
. 2024 Sep;
PP.
PMID: 39264780
3D shapes captured by scanning devices are often incomplete due to occlusion. 3D shape completion methods have been explored to tackle this limitation. However, most of these methods are only...
4.
Zhang Y, Zhu Z, Hou J, Wu D
IEEE Trans Pattern Anal Mach Intell
. 2024 Aug;
46(12):10614-10628.
PMID: 39141469
The Detection Transformer (DETR) has revolutionized the design of CNN-based object detection systems, showcasing impressive performance. However, its potential in the domain of multi-frame 3D object detection remains largely unexplored....
5.
You M, Hou J
IEEE Trans Vis Comput Graph
. 2024 Jul;
PP.
PMID: 39058610
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 moving camera,...
6.
Lyu X, Hou J
IEEE Trans Image Process
. 2024 Jul;
33:4131-4144.
PMID: 38963734
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 under low-light conditions. DCUNet is designed...
7.
Zeng Y, Hou J, Zhang Q, Ren S, Wang W
IEEE Trans Pattern Anal Mach Intell
. 2024 Jul;
46(12):9371-9386.
PMID: 38954587
Dynamic 3D point cloud sequences serve as one of the most common and practical representation modalities of dynamic real-world environments. However, their unstructured nature in both spatial and temporal domains...
8.
Hou J, Zhu Z, Hou J, Liu H, Zeng H, Meng D
IEEE Trans Pattern Anal Mach Intell
. 2024 May;
46(12):8123-8138.
PMID: 38739516
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 diversity. Specifically, based on the theoretical formulation...
9.
Lv Z, Hou J, Wang Y, Wang X, Wang Y, Wang K
Hum Vaccin Immunother
. 2024 Mar;
20(1):2325756.
PMID: 38537105
No abstract available.
10.
Zhang Q, Hou J
IEEE Trans Vis Comput Graph
. 2023 Dec;
30(10):6900-6912.
PMID: 38127600
The past few years have witnessed the great success and prevalence of self-supervised representation learning within the language and 2D vision communities. However, such advancements have not been fully migrated...