← Authors

Yihong Gong

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

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 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