Chang Huang
28 papers · 2015–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (10) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(10)
🐝
Cross-Pollinator
(10)
🤝
Dynamic Duo
(12)
🌱
Topic Pioneer
🔥
Unstoppable
(5)
💎
Century Club
(26)
📈
Trend Setter
🚀
Conference Pioneer
🗃️
Keyword Collector
(135)
⚡
Prolific Year
(7)
Conferences
CVPR (9)
ICCV (6)
AAAI (5)
NIPS (3)
ECCV (2)
IJCAI (2)
ICLR (1)
Top co-authors
Keywords
convolutional neural network
(9)
object detection
(6)
semantic segmentation
(4)
instance segmentation
(3)
feature extraction
(2)
conditional random field
(2)
deep learning
(2)
image classification
(2)
point cloud
(2)
recurrent neural network
(2)
few-shot learning
(1)
image restoration
(1)
computer vision
(1)
scene understanding
(1)
vision transformer
(1)
representation learning
(1)
domain generalization
(1)
loss function optimization
(1)
policy optimization
(1)
weakly supervised learning
(1)
Papers
DRM-Net: Explicit Residual Modelling with Subaquatic Multi-Scale Context Fusion for Underwater Image Enhancement
AAAI 2026
mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing
AAAI 2026
Omnidirectional Multi-Object Tracking
CVPR 2025
ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention
AAAI 2025
Focus On What Matters: Separated Models For Visual-Based RL Generalization
NIPS 2024
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
ECCV 2024
Circuit as Set of Points
NIPS 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
NIPS 2023
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
ICLR 2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
ICCV 2023
Sparse Instance Activation for Real-Time Instance Segmentation
CVPR 2022
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception
CVPR 2022
Diversity Transfer Network for Few-Shot Learning
AAAI 2020
RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation
AAAI 2020
Mask Scoring R-CNN
CVPR 2019
CCNet: Criss-Cross Attention for Semantic Segmentation
ICCV 2019
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game
IJCAI 2019
RENAS: Reinforced Evolutionary Neural Architecture Search
CVPR 2019
Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification
ECCV 2018
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification
IJCAI 2018
CNN-RNN: A Unified Framework for Multi-Label Image Classification
CVPR 2016
Learning From Massive Noisy Labeled Data for Image Classification
CVPR 2015
Deep Multiple Instance Learning for Image Classification and Auto-Annotation
CVPR 2015
Multi-Objective Convolutional Learning for Face Labeling
CVPR 2015
Conditional Random Fields as Recurrent Neural Networks
ICCV 2015
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs
ICCV 2015
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks
ICCV 2015
Text Flow: A Unified Text Detection System in Natural Scene Images
ICCV 2015