Jiawei Liu

27

Papers

126

Total Citations

Papers (27)

Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment

AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion

Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning

Mask^2DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation

PurpCode: Reasoning for Safer Code Generation

BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation

Noise-assisted Prompt Learning for Image Forgery Detection and Localization

Self-Calibrating Vicinal Risk Minimisation for Model Calibration

DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

Magicoder: Empowering Code Generation with OSS-Instruct

Adaptive Transfer Network for Cross-Domain Person Re-Identification

Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos

Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification

PD-Quant: Post-Training Quantization Based on Prediction Difference Metric

Edge-Aware Regional Message Passing Controller for Image Forgery Localization

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models

Homography Guided Temporal Fusion for Road Line and Marking Segmentation

Model Calibration in Dense Classification with Adaptive Label Perturbation

P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds

View From Above: Orthogonal-View aware Cross-view Localization

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

I2VControl: Disentangled and Unified Video Motion Synthesis Control

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

Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning

Interweaving Memories of a Siamese Large Language Model

Residual Denoising Diffusion Models

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation