Jie Hu
63 papers · 2016–2026 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jie Hu?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with ShengChuan Zhang, Rongrong Ji, Liujuan Cao
16 papers
· 2018–2025
· ICCV, CVPR, ACL
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Adapt Foundational Segmentation Models with Heterogeneous Searching Space
ICCV 2025
Adversarial Preference Learning for Robust LLM Alignment
ACL 2025
CARE-STaR: Constraint-aware Self-taught Reasoner
ACL 2025
EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation
AAAI 2025
EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding
ACL 2025
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models
IJCAI 2025
WildSeg3D: Segment Any 3D Objects in the Wild from 2D Images
ICCV 2025
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
ECCV 2024
DistilPose: Tokenized Pose Regression With Heatmap Distillation
CVPR 2023
Pseudo-label Alignment for Semi-supervised Instance Segmentation
ICCV 2023
You Only Segment Once: Towards Real-Time Panoptic Segmentation
CVPR 2023
Architecture Disentanglement for Deep Neural Networks
ICCV 2021
Image-to-Image Translation via Hierarchical Style Disentanglement
CVPR 2021
Information Competing Process for Learning Diversified Representations
NeurIPS 2019
Towards Visual Feature Translation
CVPR 2019
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid
IJCAI 2018
7 papers whose co-authors appear nowhere else under this name
FIND: A Simple Yet Effective Baseline for Diffusion-Generated Image Detection
AAAI 2026
PE3R: Perception-Efficient 3D Reconstruction
CVPR 2026
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data
JMLR 2025
Distributed Bilevel Optimization with Communication Compression
ICML 2024
Modeling Label Correlations with Latent Context for Multi-Label Recognition
ECCV 2024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
AAAI 2024
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising
AAAI 2022