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Kaiqi Huang

56 papers · 2014–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (11)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (92) 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (261) πŸ”₯ Unstoppable (12) πŸ’Ž Century Club (52) πŸš€ Conference Pioneer

Conferences

AAAI (16) CVPR (16) IJCAI (8) ICCV (7) NIPS (4) ICML (3) ECCV (1) ICLR (1)

Papers

RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents AAAI 2026 No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding AAAI 2026 ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints AAAI 2026 CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos AAAI 2026 Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling AAAI 2025 Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity IJCAI 2025 CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features ICML 2025 ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking ICCV 2025 LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025 Beyond Accuracy: Tracking more like Human via Visual Search NIPS 2024 Information Bottleneck Based Data Correction in Continual Learning ECCV 2024 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024 MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts NIPS 2024 ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning IJCAI 2024 DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024 TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024 Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks IJCAI 2024 Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness ICML 2024 Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks AAAI 2023 A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship NIPS 2023 Re-parameterizing Your Optimizers rather than Architectures ICLR 2023 Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks IJCAI 2023 InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation NIPS 2022 QueryProp: Object Query Propagation for High-Performance Video Object Detection AAAI 2022 Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition AAAI 2022 PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation CVPR 2022 Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition ICCV 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking AAAI 2020 Learning to Learn Cropping Models for Different Aspect Ratio Requirements CVPR 2020 Composing Good Shots by Exploiting Mutual Relations CVPR 2020 Temporal Context Enhanced Feature Aggregation for Video Object Detection AAAI 2020 Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation IJCAI 2019 Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition AAAI 2019 3D Object Detection Using Scale Invariant and Feature Reweighting Networks AAAI 2019 SSAP: Single-Shot Instance Segmentation With Affinity Pyramid ICCV 2019 Bridging the Gap Between Detection and Tracking: A Unified Approach ICCV 2019 SparseMask: Differentiable Connectivity Learning for Dense Image Prediction ICCV 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification CVPR 2019 A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping CVPR 2018 Adversarially Occluded Samples for Person Re-Identification CVPR 2018 Fast End-to-End Trainable Guided Filter CVPR 2018 Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion IJCAI 2018 Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 2018 Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification CVPR 2017 Deep Crisp Boundaries CVPR 2017 Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification CVPR 2017 Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation CVPR 2017 FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs IJCAI 2016 ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering CVPR 2016 Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition IJCAI 2016 Query Adaptive Similarity Measure for RGB-D Object Recognition ICCV 2015 Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation ICCV 2015 GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs CVPR 2015 Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014