Ming Tang

AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection AAAI 2026 GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models AAAI 2026 GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking CVPR 2026 Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping AAAI 2026 Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection AAAI 2026 Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence ACL 2025 FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records IJCAI 2025 Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring ICCV 2025 Hessian-Free Online Certified Unlearning ICLR 2025 Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning IJCAI 2025 MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing ICCV 2025 One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025 PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability CVPR 2025 Systematic Outliers in Large Language Models ICLR 2025 UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection CVPR 2025 VPR-Cloak: A First Look at Privacy Cloak Against Visual Place Recognition ICCV 2025 AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models AAAI 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NeurIPS 2024 Fluctuation-Based Adaptive Structured Pruning for Large Language Models AAAI 2024 Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing AAAI 2024 Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models ECCV 2024 SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models EMNLP 2024 Self-Supervised Representation Learning from Arbitrary Scenarios CVPR 2024 Sirius: Composing Network Function Chains into P4-Capable Edge Gateways NSDI 2024 Norma: Towards Practical Network Load Testing NSDI 2023 ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection CVPR 2023 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks NeurIPS 2022 PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification ECCV 2022 Regularizing Vector Embedding in Bottom-Up Human Pose Estimation ECCV 2022 UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training CVPR 2022 Adaptive Class Suppression Loss for Long-Tail Object Detection CVPR 2021 Fast Kernelized Correlation Filter Without Boundary Effect WACV 2021 High-Performance Discriminative Tracking With Transformers ICCV 2021 Improving Multiple Object Tracking With Single Object Tracking CVPR 2021 MST: Masked Self-Supervised Transformer for Visual Representation NeurIPS 2021 Adaptive Variance Based Label Distribution Learning For Facial Age Estimation ECCV 2020 Blended Grammar Network for Human Parsing ECCV 2020 Identity-Guided Human Semantic Parsing for Person Re-Identification ECCV 2020 Large Batch Optimization for Object Detection: Training COCO in 12 Minutes ECCV 2020 Learning Feature Embeddings for Discriminant Model based Tracking ECCV 2020 Part-Aware Context Network for Human Parsing CVPR 2020 Fast-deepKCF Without Boundary Effect ICCV 2019 Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR 2019 High-Speed Tracking With Multi-Kernel Correlation Filters CVPR 2018 Learning Robust Gaussian Process Regression for Visual Tracking IJCAI 2018 Multi-Kernel Correlation Filter for Visual Tracking ICCV 2015