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← Authors

Yihong Gong

48 papers · 2007–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (16) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (21) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (182) πŸ’Ž Century Club (46) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10)

Conferences

CVPR (12) AAAI (10) NIPS (7) ECCV (6) IJCAI (6) ICCV (3) ACL (2) IJCNLP (1) WACV (1)

Top co-authors

Xing Wei (21) Yuhang He (17) Songlin Dong (14) Xiaopeng Hong (11) Qiang Wang (8) Xiang Song (7) Nanning Zheng (6) Zhiheng Ma (6) Xinyuan Gao (5) Yifan Bai (4)

Keywords

continual learning (9) catastrophic forgetting (8) class incremental learning (5) metric learning (5) crowd counting (5) class-incremental learning (4) person re-identification (4) autoregressive model (3) domain adaptation (3) visual tracking (3) object tracking (2) trajectory prediction (2) feature representation (2) few-shot learning (2) visual object tracking (2) attention mechanism (2) knowledge distillation (2) unsupervised learning (2) domain generalization (2) density estimation (2)

Papers

Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation AAAI 2026 GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery AAAI 2026 Dynamic Integration of Task-Specific Adapters for Class Incremental Learning CVPR 2025 Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need CVPR 2025 Autoregressive Sequential Pretraining for Visual Tracking CVPR 2025 DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype AAAI 2025 Learning Endogenous Attention for Incremental Object Detection CVPR 2025 SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning ACL 2025 Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration ECCV 2024 Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning ECCV 2024 DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning CVPR 2024 Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models NIPS 2024 ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe CVPR 2024 Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation ECCV 2024 Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning WACV 2024 Evolving Parameterized Prompt Memory for Continual Learning AAAI 2024 Non-exemplar Domain Incremental Object Detection via Learning Domain Bias AAAI 2024 DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning CVPR 2023 Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution IJCAI 2023 Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning ICCV 2023 Autoregressive Visual Tracking CVPR 2023 IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution IJCAI 2022 Direct Measure Matching for Crowd Counting IJCAI 2021 Few-Shot Class-Incremental Learning via Relation Knowledge Distillation AAAI 2021 Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting AAAI 2021 Learning to Count via Unbalanced Optimal Transport AAAI 2021 Towards a Universal Model for Cross-Dataset Crowd Counting ICCV 2021 Few-Shot Class-Incremental Learning CVPR 2020 Topology-Preserving Class-Incremental Learning ECCV 2020 Bi-Objective Continual Learning: Learning β€˜New’ While Consolidating β€˜Known’ AAAI 2020 Infrared-Visible Cross-Modal Person Re-Identification with an X Modality AAAI 2020 Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019 Transductive Semi-Supervised Deep Learning using Min-Max Features ECCV 2018 Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification ECCV 2018 Kernelized Subspace Pooling for Deep Local Descriptors CVPR 2018 Graph Matching via Multiplicative Update Algorithm NIPS 2017 Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification IJCAI 2017 Point to Set Similarity Based Deep Feature Learning for Person Re-Identification CVPR 2017 Improving DCNN Performance with Sparse Category-Selective Objective Function IJCAI 2016 Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function CVPR 2016 Improving CNN Performance with Min-Max Objective IJCAI 2016 Learning to Search Efficiently in High Dimensions NIPS 2011 Nonlinear Learning using Local Coordinate Coding NIPS 2009 Multi-Document Summarization using Sentence-based Topic Models IJCNLP 2009 Multi-Document Summarization using Sentence-based Topic Models ACL 2009 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition NIPS 2008 Predictive Matrix-Variate t Models NIPS 2007