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Yonghong Tian

87 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (124) 🏠 Conference Loyalist (28) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (18) πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution πŸ† Keyword Champion (6) πŸ’Ž Century Club (82) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (347) ❓ The Questioner ⚑ Prolific Year (13) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Conferences

CVPR (28) ICCV (16) AAAI (13) NIPS (9) ICLR (5) IJCAI (5) ECCV (4) ICML (3) COLING (2) WACV (2)

Top co-authors

Tiejun Huang (18) Peixi Peng (16) Xiawu Zheng (12) Rongrong Ji (11) Yifan Zhao (10) Li Yuan (10) Yaowei Wang (9) Zhaofei Yu (9) Lin Zhu (9) Guangyao Chen (8)

Keywords

spiking neural network (14) event camera (11) object detection (8) visual reinforcement learning (6) representation learning (6) convolutional neural network (6) metric learning (5) knowledge distillation (5) model compression (4) image classification (4) energy efficiency (4) transfer learning (4) feature learning (3) reinforcement learning (3) person re-identification (3) contrastive learning (3) few-shot learning (3) neural architecture search (3) neuromorphic computing (3) semantic segmentation (3)

Papers

ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026
Parallel Training Time-to-First-Spike Spiking Neural Networks AAAI 2026
Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models AAAI 2026
Spikingformer: A Key Foundation Model for Spiking Neural Networks AAAI 2026
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning AAAI 2026
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning ICCV 2025
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025
Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion ICCV 2025
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body CVPR 2025
EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images ICCV 2025
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes AAAI 2025
Visual Reinforcement Learning with Residual Action AAAI 2025
Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning COLING 2025
When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network ICML 2025
PiCO: Peer Review in LLMs based on Consistency Optimization ICLR 2025
Multimodal Quantitative Language for Generative Recommendation ICLR 2025
Self-Supervised Learning for Color Spike Camera Reconstruction CVPR 2025
RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing CVPR 2025
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset CVPR 2025
VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025
Asynchronous Collaborative Graph Representation for Frames and Events CVPR 2025
High-Performance Temporal Reversible Spiking Neural Networks with $\mathcalO(L)$ Training Memory and $\mathcalO(1)$ Inference Cost ICML 2024
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline CVPR 2024
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors AAAI 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli NIPS 2024
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024
Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL NIPS 2024
DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024
HiFi-123: Towards High-fidelity One Image to 3D Content Generation ECCV 2024
QKFormer: Hierarchical Spiking Transformer using Q-K Attention NIPS 2024
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion IJCAI 2024
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips ICLR 2024
Event-based Visible and Infrared Fusion via Multi-task Collaboration CVPR 2024
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation ICCV 2023
A Unified Framework for Soft Threshold Pruning ICLR 2023
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning NIPS 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies NIPS 2023
Spike-driven Transformer NIPS 2023
Spikformer: When Spiking Neural Network Meets Transformer ICLR 2023
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning IJCAI 2023
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning ICCV 2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse AAAI 2023
Meta Architecture for Point Cloud Analysis CVPR 2023
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning CVPR 2023
IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization CVPR 2022
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning NIPS 2022
Retinomorphic Object Detection in Asynchronous Visual Streams AAAI 2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment CVPR 2022
Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity CVPR 2022
Neural Architecture Search With Representation Mutual Information CVPR 2022
Training-Free Transformer Architecture Search CVPR 2022
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network CVPR 2022
Masked Autoencoders for Point Cloud Self-Supervised Learning ECCV 2022
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks ICML 2022
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark CVPR 2021
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras CVPR 2021
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain ICCV 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021
Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks ICCV 2021
Matching on Sets: Conquer Occluded Person Re-identification Without Alignment AAAI 2021
PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks WACV 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks IJCAI 2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021
Heterogeneous Relational Complement for Vehicle Re-Identification ICCV 2021
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras ICCV 2021
Deep Residual Learning in Spiking Neural Networks NIPS 2021
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification CVPR 2020
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification ECCV 2020
Learning Open Set Network with Discriminative Reciprocal Points ECCV 2020
Rethinking Performance Estimation in Neural Architecture Search CVPR 2020
Retina-Like Visual Image Reconstruction via Spiking Neural Model CVPR 2020
HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020
Channel Pruning via Automatic Structure Search IJCAI 2020
Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition WACV 2020
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020
Part-Regularized Near-Duplicate Vehicle Re-Identification CVPR 2019
Selectivity or Invariance: Boundary-Aware Salient Object Detection ICCV 2019
Multi-Class Part Parsing With Joint Boundary-Semantic Awareness ICCV 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN NIPS 2018
Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-Similar Vehicles ICCV 2017
Learning Long-Term Dependencies for Action Recognition With a Biologically-Inspired Deep Network ICCV 2017
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles CVPR 2016
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification CVPR 2016
Quality Assessment for Comparing Image Enhancement Algorithms CVPR 2014