Mingkui Tan

Action-and-object Aware Alignment for Partially Relevant Video Retrieval AAAI 2026 FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models AAAI 2026 Latent-Condensed Transformer for Efficient Long Context Modeling ACL 2026 NaVLA$^2$: A Vision-Language-Audio-Action Model for Multimodal Instruction Navigation AAAI 2026 SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition AAAI 2026 Test-Time Learning for Large Language Models ICML 2025 Test-time Adapted Reinforcement Learning with Action Entropy Regularization ICML 2025 Curse of High Dimensionality Issue in Transformer for Long Context Modeling ICML 2025 LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences CVPR 2025 Deep Electromagnetic Structure Design Under Limited Evaluation Budgets ICML 2025 Efficient Dynamic Ensembling for Multiple LLM Experts IJCAI 2025 Understanding Emotional Body Expressions via Large Language Models AAAI 2025 Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement NAACL 2025 Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance IJCAI 2025 Frequency-Aware Autoregressive Modeling for Efficient High-Resolution Image Synthesis ICCV 2025 Core Context Aware Transformers for Long Context Language Modeling ICML 2025 HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models CVPR 2024 G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images CVPR 2024 Cross-Device Collaborative Test-Time Adaptation NIPS 2024 AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework COLING 2024 Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy ICLR 2024 Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation ICLR 2024 Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction NIPS 2023 FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation NIPS 2023 Hard Sample Matters a Lot in Zero-Shot Quantization CVPR 2023 Masked Motion Encoding for Self-Supervised Video Representation Learning CVPR 2023 Towards Stable Test-time Adaptation in Dynamic Wild World ICLR 2023 Cross-Ray Neural Radiance Fields for Novel-View Synthesis from Unconstrained Image Collections ICCV 2023 Learning Vision-and-Language Navigation from YouTube Videos ICCV 2023 CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation ICCV 2023 Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering ACL 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023 DAS: Densely-Anchored Sampling for Deep Metric Learning ECCV 2022 Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation ECCV 2022 Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation NIPS 2022 Efficient Test-Time Model Adaptation without Forgetting ICML 2022 Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints AAAI 2022 V2C: Visual Voice Cloning CVPR 2022 Learning Active Camera for Multi-Object Navigation NIPS 2022 Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021 Debiased Visual Question Answering from Feature and Sample Perspectives NIPS 2021 RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning AAAI 2021 How to Train Your Agent to Read and Write AAAI 2021 Towards Accurate Text-Based Image Captioning With Content Diversity Exploration CVPR 2021 AQD: Towards Accurate Quantized Object Detection CVPR 2021 Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks ICCV 2021 ASCNet: Self-Supervised Video Representation Learning With Appearance-Speed Consistency ICCV 2021 Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation ICCV 2021 AdaXpert: Adapting Neural Architecture for Growing Data ICML 2021 Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation IJCAI 2021 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020 Deep Transferring Quantization ECCV 2020 Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only CVPR 2020 Dense Regression Network for Video Grounding CVPR 2020 Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution CVPR 2020 Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search ICML 2020 Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification IJCAI 2020 Relation-Aware Transformer for Portfolio Policy Learning IJCAI 2020 Length-Controllable Image Captioning ECCV 2020 Generative Low-bitwidth Data Free Quantization ECCV 2020 Location-Aware Graph Convolutional Networks for Video Question Answering AAAI 2020 Graph Convolutional Networks for Temporal Action Localization ICCV 2019 Multi-marginal Wasserstein GAN NIPS 2019 NAT: Neural Architecture Transformer for Accurate and Compact Architectures NIPS 2019 Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR 2019 Multi-class Heterogeneous Domain Adaptation JMLR 2019 Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019 Oversampling for Imbalanced Data via Optimal Transport AAAI 2019 Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018 Cartoon-to-Photo Facial Translation with Generative Adversarial Networks ACML 2018 Discrimination-aware Channel Pruning for Deep Neural Networks NIPS 2018 Visual Grounding via Accumulated Attention CVPR 2018 Towards Effective Low-Bitwidth Convolutional Neural Networks CVPR 2018 Adversarial Learning with Local Coordinate Coding ICML 2018 Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation IJCAI 2018 On the Flatness of Loss Surface for Two-layered ReLU Networks ACML 2017 Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation IJCAI 2017 Self-Paced Kernel Estimation for Robust Blind Image Deblurring ICCV 2017 Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization CVPR 2016 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016 Fast Algorithms for Linear and Kernel SVM+ CVPR 2016 Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015 Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search IJCAI 2015 Heterogeneous Domain Adaptation for Multiple Classes AISTATS 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014