Jiaxin Chen

21

Papers

3

Total Citations

Papers (21)

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models

FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation

3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling

Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Zero-Shot Action Recognition With Error-Correcting Output Codes

Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation

Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing

Auto-Encoding Twin-Bottleneck Hashing

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection

Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint

OcTr: Octree-Based Transformer for 3D Object Detection

Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images

PR-GCN: A Deep Graph Convolutional Network With Point Refinement for 6D Pose Estimation

DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration

Learning Attentive and Hierarchical Representations for 3D Shape Recognition

APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers

Compressed Video Prompt Tuning

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning