guiguang ding

Tracking and Segmenting Anything in Any Modality AAAI 2026 GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection AAAI 2026 Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding NAACL 2025 AdaTP: Attention-Debiased Token Pruning for Video Large Language Models EMNLP 2025 Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization IJCAI 2025 Temporal Scaling Law for Large Language Models EMNLP 2025 TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval ICLR 2025 Fast Quiet-STaR: Thinking Without Thought Tokens EMNLP 2025 DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025 DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval CVPR 2025 Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection CVPR 2025 HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator CVPR 2025 LSNet: See Large, Focus Small CVPR 2025 DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup ICCV 2025 YOLOE: Real-Time Seeing Anything ICCV 2025 Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning AAAI 2025 Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal AAAI 2025 Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method ACL 2025 Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models COLING 2025 CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts NAACL 2025 Revisiting motion information for RGB-Event tracking with MOT philosophy NIPS 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024 Debiased Novel Category Discovering and Localization AAAI 2024 Geometry-Guided Domain Generalization for Monocular 3D Object Detection AAAI 2024 MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models NAACL 2024 YOLOv10: Real-Time End-to-End Object Detection NIPS 2024 RepViT: Revisiting Mobile CNN From ViT Perspective CVPR 2024 One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications CVPR 2024 Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence ECCV 2024 PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation ECCV 2024 Quantized Prompt for Efficient Generalization of Vision-Language Models ECCV 2024 VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation ECCV 2024 More is Better: Deep Domain Adaptation with Multiple Sources IJCAI 2024 Box-Level Active Detection CVPR 2023 Re-parameterizing Your Optimizers rather than Architectures ICLR 2023 Consolidator: Mergable Adapter with Group Connections for Visual Adaptation ICLR 2023 Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation ICCV 2023 RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality CVPR 2022 SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification AAAI 2022 ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising AAAI 2022 Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs CVPR 2022 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans AAAI 2021 ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting ICCV 2021 Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021 RepVGG: Making VGG-Style ConvNets Great Again CVPR 2021 Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification ECCV 2020 Shallow Feature Based Dense Attention Network for Crowd Counting AAAI 2020 Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data AAAI 2020 PANDA: A Gigapixel-Level Human-Centric Video Dataset CVPR 2020 IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval CVPR 2020 Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks IJCAI 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019 GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition AAAI 2019 Adaptive Region Embedding for Text Classification AAAI 2019 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 Recurrent Attention Model for Pedestrian Attribute Recognition AAAI 2019 Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure CVPR 2019 ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks ICCV 2019 Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019 Low Shot Box Correction for Weakly Supervised Object Detection IJCAI 2019 Global Sparse Momentum SGD for Pruning Very Deep Neural Networks NIPS 2019 Landmark Selection for Zero-shot Learning IJCAI 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019 Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes IJCAI 2018 Affective Image Content Analysis: A Comprehensive Survey IJCAI 2018 Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning IJCAI 2018 Personality-Aware Personalized Emotion Recognition from Physiological Signals IJCAI 2018 Automatic Gating of Attributes in Deep Structure IJCAI 2018 Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval IJCAI 2018 Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning IJCAI 2018 Where to Prune: Using LSTM to Guide End-to-end Pruning IJCAI 2018 TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017 Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion IJCAI 2017 From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis CVPR 2017 SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing IJCAI 2017 Synthesizing Samples for Zero-shot Learning IJCAI 2017 Unsupervised Deep Video Hashing with Balanced Rotation IJCAI 2017 Semi-Supervised Active Learning with Cross-Class Sample Transfer IJCAI 2016 Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015 Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014 Collective Matrix Factorization Hashing for Multimodal Data CVPR 2014 Transfer Joint Matching for Unsupervised Domain Adaptation CVPR 2014 Transfer Sparse Coding for Robust Image Representation CVPR 2013 Transfer Feature Learning with Joint Distribution Adaptation ICCV 2013 Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions CVPR 2013