Zhang, Bo
147 publications
NeurIPS
2025
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
ICCV
2025
DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
CVPR
2025
Image over Text: Transforming Formula Recognition Evaluation with Character Detection Matching
ICCV
2025
R1-Onevision: Advancing Generalized Multimodal Reasoning Through Cross-Modal Formalization
NeurIPS
2025
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
NeurIPS
2024
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
CVPR
2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
CVPR
2023
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation
AAAI
2023
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution
CVPR
2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
ICCV
2023
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation
ICCV
2023
UMC: A Unified Bandwidth-Efficient and Multi-Resolution Based Collaborative Perception Framework
ICLR
2022
Analytic-DPM: An Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
ICML
2021
Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models
IJCAI
2020
Internal and Contextual Attention Network for Cold-Start Multi-Channel Matching in Recommendation
ECCV
2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters
NeurIPSW
2020
Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models
NeurIPS
2018
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning
ICCVW
2017
End-to-End Visual Target Tracking in Multi-Robot Systems Based on Deep Convolutional Neural Network