SHIMING XIANG
46 papers · 2013–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (84) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
π€
Dynamic Duo
(28)
π§¬
Topic Evolution
π§
Keyword Pioneer
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Renaissance Researcher
(8)
π₯
Unstoppable Β· Silver
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(223)
Venues
Top co-authors
Research topics
Machine Learning
(23)
Deep Learning
(21)
Computer Vision
(20)
Artificial Intelligence
(15)
Analysis
(15)
Core AI
(12)
Learning Types Β· Machine Learning
(11)
Core Methods
(10)
Learning Types Β· Deep Learning
(10)
Application Areas
(9)
Architectures
(8)
Processing
(8)
Optimization & Theory
(5)
Learning Paradigms
(4)
Techniques
(4)
Keywords
convolutional neural network
(7)
representation learning
(6)
reinforcement learning
(4)
catastrophic forgetting
(3)
few-shot learning
(3)
graph neural network
(3)
domain generalization
(3)
feature propagation
(2)
neural network
(2)
deep learning
(2)
vision-language model
(2)
continual learning
(2)
3d vision
(2)
domain adaptation
(2)
object detection
(2)
neural architecture search
(2)
deep reinforcement learning
(2)
knowledge transfer
(2)
multimodal large language model
(2)
document image
(2)
Papers
Beyond Counting: Evaluating Abstract and Emotional Reasoning in Vision-Language Models
AAAI 2026
CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering
CVPR 2026
IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting
CVPR 2026
LookFlow: Training-Free and Efficient High-Resolution Image Synthesis via Dynamic Lookahead Guidance Flow
AAAI 2026
MeteorPred: A Meteorological Multimodal Large Model and Dataset for Severe Weather Event Prediction
CVPR 2026
R-4B: Incentivizing General-Purpose Auto-Thinking in MLLMs via Bi-Mode Annealing and Reinforce Learning
CVPR 2026
Faster and Better LLMs via Latency-Aware Test-Time Scaling
EMNLP 2025
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
ICML 2025
UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
ICLR 2025
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization
ECCV 2024
Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation
CVPR 2024
Defying Imbalanced Forgetting in Class Incremental Learning
AAAI 2024
Dual Critic Reinforcement Learning under Partial Observability
NeurIPS 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
CVPR 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
AAAI 2024
Bilateral Memory Consolidation for Continual Learning
CVPR 2023
Domain Decorrelation with Potential Energy Ranking
AAAI 2023
Robust Feature Rectification of Pretrained Vision Models for Object Recognition
AAAI 2023
AME: Attention and Memory Enhancement in Hyper-Parameter Optimization
CVPR 2022
Expanding Language-Image Pretrained Models for General Video Recognition
ECCV 2022
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation
AAAI 2022
Few-Shot Learning via Feature Hallucination With Variational Inference
WACV 2021
Knowledge Mining and Transferring for Domain Adaptive Object Detection
ICCV 2021
AugFPN: Improving Multi-Scale Feature Learning for Object Detection
CVPR 2020
Decoupled Representation Learning for Skeleton-Based Gesture Recognition
CVPR 2020
Learning Where to Focus for Efficient Video Object Detection
ECCV 2020
PackDet: Packed Long-Head Object Detector
ECCV 2020
Spatio-Temporal Graph Structure Learning for Traffic Forecasting
AAAI 2020
DATA: Differentiable ArchiTecture Approximation
NeurIPS 2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
ICCV 2019
GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction
IJCAI 2019
No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking
AAAI 2019
Progressive Sparse Local Attention for Video Object Detection
ICCV 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
CVPR 2019
RENAS: Reinforced Evolutionary Neural Architecture Search
CVPR 2019
Video Object Detection with Locally-Weighted Deformable Neighbors
AAAI 2019
What and Where the Themes Dominate in Image
AAAI 2019
Exploiting Vector Fields for Geometric Rectification of Distorted Document Images
ECCV 2018
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification
IJCAI 2018
Structure-Aware Convolutional Neural Networks
NeurIPS 2018
AMVH: Asymmetric Multi-Valued Hashing
CVPR 2017
Deep Adaptive Image Clustering
ICCV 2017
Extraction of Virtual Baselines From Distorted Document Images Using Curvilinear Projection
ICCV 2015
Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing
ICCV 2015
Active Flattening of Curved Document Images via Two Structured Beams
CVPR 2014
Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
ICCV 2013