Yihong Gong

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