Qiang Zhang

33

Papers

153

Total Citations

Papers (33)

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models

Constrain Alignment with Sparse Autoencoders

Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks

STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks

Exploiting Polarized Material Cues for Robust Car Detection

Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity

What Makes for Text to 360-degree Panorama Generation with Stable Diffusion?

HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection

StableMask: Refining Causal Masking in Decoder-only Transformer

Knowledge-aware Reinforced Language Models for Protein Directed Evolution

Image Correction via Deep Reciprocating HDR Transformation

Learning Context Graph for Person Search

Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset

Don't Hit Me! Glass Detection in Real-World Scenes

Attention-Guided Hierarchical Structure Aggregation for Image Matting

Depth-Aware Mirror Segmentation

ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification

Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels

Efficient RGB-T Tracking via Cross-Modality Distillation

Employing Deep Part-Object Relationships for Salient Object Detection

Masked Spiking Transformer

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

Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models

Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization

Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets

Structure-Aware Random Fourier Kernel for Graphs

Variational Continual Bayesian Meta-Learning

Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

Learning Invariant Molecular Representation in Latent Discrete Space