Yonghong Tian
92 papers · 2014–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(22)
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(18)
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(392)
Venues
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Research topics
Machine Learning
(55)
Deep Learning
(52)
Computer Vision
(42)
Artificial Intelligence
(35)
Analysis
(30)
Architectures
(30)
Core AI
(29)
Application Areas
(25)
Core Methods
(21)
Learning Types Β· Deep Learning
(21)
Learning Types Β· Machine Learning
(13)
Optimization & Theory
(13)
Processing
(13)
Reinforcement Learning
(9)
Methods
(8)
Keywords
spiking neural network
(17)
event camera
(14)
object detection
(8)
image classification
(6)
representation learning
(6)
visual reinforcement learning
(6)
convolutional neural network
(6)
metric learning
(5)
knowledge distillation
(5)
multimodal learning
(5)
model compression
(4)
energy efficiency
(4)
domain adaptation
(4)
transfer learning
(4)
neuromorphic computing
(4)
contrastive learning
(3)
feature learning
(3)
person re-identification
(3)
few-shot learning
(3)
neural architecture search
(3)
Papers
BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning
ACL 2026
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning
AAAI 2026
Event Structural Valley: A Unified Theoretical and Practical Framework for Event Camera Autofocus
CVPR 2026
MER-Tracker: Towards High-Speed 3D Point Tracking via Multi-View Event-RGB Hybrid Cameras
CVPR 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
ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics
AAAI 2026
PromptDepth: Efficient and Promptable Geometric 3D Vision Model for Embodied Intelligence
CVPR 2026
Spikingformer: A Key Foundation Model for Spiking Neural Networks
AAAI 2026
Style-GRPO: Semantic-Aware Preference Optimization for Image Style Transfer Guided by Reward Modeling
CVPR 2026
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes
AAAI 2025
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
ICCV 2025
Asynchronous Collaborative Graph Representation for Frames and Events
CVPR 2025
Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion
ICCV 2025
EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images
ICCV 2025
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning
COLING 2025
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning
ICCV 2025
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body
CVPR 2025
Learning Transition Patterns by Large Language Models for Sequential Recommendation
COLING 2025
Multimodal Quantitative Language for Generative Recommendation
ICLR 2025
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
CVPR 2025
PiCO: Peer Review in LLMs based on Consistency Optimization
ICLR 2025
RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing
CVPR 2025
Self-Supervised Learning for Color Spike Camera Reconstruction
CVPR 2025
Visual Reinforcement Learning with Residual Action
AAAI 2025
VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning
CVPR 2025
When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
ICML 2025
Adaptive Discovering and Merging for Incremental Novel Class Discovery
AAAI 2024
DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
CVPR 2024
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
IJCAI 2024
Event-based Visible and Infrared Fusion via Multi-task Collaboration
CVPR 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
HiFi-123: Towards High-fidelity One Image to 3D Content Generation
ECCV 2024
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost
ICML 2024
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
NeurIPS 2024
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
NeurIPS 2024
Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL
NeurIPS 2024
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
CVPR 2024
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
ICLR 2024
A Unified Framework for Soft Threshold Pruning
ICLR 2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
AAAI 2023
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning
IJCAI 2023
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
NeurIPS 2023
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
CVPR 2023
Meta Architecture for Point Cloud Analysis
CVPR 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
NeurIPS 2023
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning
ICCV 2023
Spike-driven Transformer
NeurIPS 2023
Spikformer: When Spiking Neural Network Meets Transformer
ICLR 2023
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation
ICCV 2023
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network
CVPR 2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment
CVPR 2022
IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization
CVPR 2022
Masked Autoencoders for Point Cloud Self-Supervised Learning
ECCV 2022
Neural Architecture Search With Representation Mutual Information
CVPR 2022
Retinomorphic Object Detection in Asynchronous Visual Streams
AAAI 2022
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
NeurIPS 2022
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
ICML 2022
Training-Free Transformer Architecture Search
CVPR 2022
Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity
CVPR 2022
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
ICCV 2021
Deep Residual Learning in Spiking Neural Networks
NeurIPS 2021
Heterogeneous Relational Complement for Vehicle Re-Identification
ICCV 2021
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras
CVPR 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
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras
ICCV 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
IJCAI 2021
PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks
WACV 2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
IJCAI 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks
ICCV 2021
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark
CVPR 2021
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification
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
HRank: Filter Pruning Using High-Rank Feature Map
CVPR 2020
Learning Open Set Network with Discriminative Reciprocal Points
ECCV 2020
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
ECCV 2020
Rethinking Performance Estimation in Neural Architecture Search
CVPR 2020
Retina-Like Visual Image Reconstruction via Spiking Neural Model
CVPR 2020
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations
AAAI 2020
Multi-Class Part Parsing With Joint Boundary-Semantic Awareness
ICCV 2019
Part-Regularized Near-Duplicate Vehicle Re-Identification
CVPR 2019
Selectivity or Invariance: Boundary-Aware Salient Object Detection
ICCV 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
ICCV 2019
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
NeurIPS 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