Junhui Hou
46 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
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Cross-Pollinator
(13)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(63)
π¬
Deep Specialist
(12)
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Dynamic Duo
(11)
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(43)
ποΈ
Keyword Collector
(190)
π₯
Unstoppable
(8)
β‘
Prolific Year
(6)
π
Conference Pioneer
Conferences
CVPR (11)
NIPS (9)
ICCV (8)
AAAI (6)
ICLR (5)
ECCV (4)
ICML (2)
ACML (1)
Top co-authors
Research topics
Keywords
point cloud
(6)
diffusion model
(4)
unsupervised learning
(4)
event camera
(3)
feature embedding
(3)
3d vision
(3)
3d geometry
(3)
surface reconstruction
(2)
deep learning
(2)
multi-object tracking
(2)
adversarial learning
(2)
object tracking
(2)
3d reconstruction
(2)
object detection
(2)
image restoration
(2)
reinforcement learning
(2)
motion estimation
(2)
contrastive learning
(2)
self-supervised learning
(2)
knowledge distillation
(2)
Papers
ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
AAAI 2026
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
AAAI 2026
Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
AAAI 2026
Neural Compression for 3D Geometry Sets
ICCV 2025
Generalization Performance of Ensemble Clustering: From Theory to Algorithm
ICML 2025
Learning from Sample Stability for Deep Clustering
ICML 2025
MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors
ICLR 2025
ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
ICLR 2025
Shape as Line Segments: Accurate and Flexible Implicit Surface Representation
ICLR 2025
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer
ICLR 2025
RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos
CVPR 2025
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation
CVPR 2025
A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions
CVPR 2025
Towards Calibrated Deep Clustering Network
ICLR 2025
VOVTrack: Exploring the Potentiality in Raw Videos for Open-Vocabulary Multi-Object Tracking
ICCV 2025
COVTrack: Continuous Open-Vocabulary Tracking via Adaptive Multi-Cue Fusion
ICCV 2025
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
NIPS 2024
E-Motion: Future Motion Simulation via Event Sequence Diffusion
NIPS 2024
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
NIPS 2024
DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction
ECCV 2024
Flatten Anything: Unsupervised Neural Surface Parameterization
NIPS 2024
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
CVPR 2024
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation
ICCV 2023
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
NIPS 2023
Global Structure-Aware Diffusion Process for Low-light Image Enhancement
NIPS 2023
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
NIPS 2023
Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers
ICCV 2023
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples
AAAI 2023
Downstream-agnostic Adversarial Examples
ICCV 2023
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
CVPR 2022
Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
NIPS 2022
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
CVPR 2022
Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines
ICCV 2021
Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild
ICCV 2021
Recurrent Multi-View Alignment Network for Unsupervised Surface Registration
CVPR 2021
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds
CVPR 2021
Clustering Ensemble Meets Low-rank Tensor Approximation
AAAI 2021
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
NIPS 2020
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
CVPR 2020
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
ECCV 2020
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
ECCV 2020
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
AAAI 2020
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
CVPR 2020
An Articulated Structure-aware Network for 3D Human Pose Estimation
ACML 2019
Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues
ECCV 2018
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework
CVPR 2018