Bin Yang

papers

3,013

total citations

papers (29)

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models

NEURIPS 2023arXiv

189

citations

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

CVPR 2025arXiv

184

citations

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

ECCV 2020arXiv

136

citations

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation

CVPR 2023arXiv

120

citations

DSDNet: Deep Structured self-Driving Network

ECCV 2020arXiv

113

citations

Position: What Can Large Language Models Tell Us about Time Series Analysis

ICML 2024arXiv

citations

FLAG3D: A 3D Fitness Activity Dataset With Language Instruction

CVPR 2023arXiv

citations

Towards Unsupervised Object Detection From LiDAR Point Clouds

CVPR 2023arXiv

citations

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging

CVPR 2023arXiv

citations

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule

CVPR 2022arXiv

citations

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

ECCV 2020arXiv

citations

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

ICLR 2025arXiv

citations

TULIP: Transformer for Upsampling of LiDAR Point Clouds

CVPR 2024arXiv

citations

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components

AAAI 2025arXiv

citations

TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification

AAAI 2025

citations

Enhancing Diversity for Data-free Quantization

CVPR 2025

citations

Non-asymptotic Error Bounds in $\mathcal{W}_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity

ICML 2025

citations

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection

ICCV 2025arXiv

citations

Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models

ICML 2025

citations

Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification

ICCV 2023

citations

Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings

ICCV 2025

citations

Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification

CVPR 2024

citations

Weighted Mutual Learning with Diversity-Driven Model Compression

NEURIPS 2022

citations

Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations

NEURIPS 2022

citations

Bin Yang

papers (29)

Learning Lane Graph Representations for Motion Forecasting

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Physically Realizable Adversarial Examples for LiDAR Object Detection

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation

DSDNet: Deep Structured self-Driving Network

Position: What Can Large Language Models Tell Us about Time Series Analysis

FLAG3D: A 3D Fitness Activity Dataset With Language Instruction

Towards Unsupervised Object Detection From LiDAR Point Clouds

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

TULIP: Transformer for Upsampling of LiDAR Point Clouds

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components

TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification

Enhancing Diversity for Data-free Quantization

Non-asymptotic Error Bounds in $\mathcal{W}_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection

Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models

Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification

Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings

Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification

Weighted Mutual Learning with Diversity-Driven Model Compression

Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations

papers (29)

Learning Lane Graph Representations for Motion Forecasting

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Physically Realizable Adversarial Examples for LiDAR Object Detection

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation

DSDNet: Deep Structured self-Driving Network

Position: What Can Large Language Models Tell Us about Time Series Analysis

FLAG3D: A 3D Fitness Activity Dataset With Language Instruction

Towards Unsupervised Object Detection From LiDAR Point Clouds

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

TULIP: Transformer for Upsampling of LiDAR Point Clouds

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components

TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification

Enhancing Diversity for Data-free Quantization

Non-asymptotic Error Bounds in $\mathcal{W}_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection

Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models

Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification

Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings

Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification

Weighted Mutual Learning with Diversity-Driven Model Compression

Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations