Feng Wu

56

Papers

79

Total Citations

Papers (56)

Scene Adaptive Sparse Transformer for Event-based Object Detection

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming

Accelerating Large Language Model Reasoning via Speculative Search

ROPO: Robust Preference Optimization for Large Language Models

TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation

Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Learning Large-Factor EM Image Super-Resolution with Generative Priors

RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation

Reinforcement Learning within Tree Search for Fast Macro Placement

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph

High-Speed Hyperspectral Video Acquisition With a Dual-Camera Architecture

Snapshot Hyperspectral Light Field Imaging

Person Re-Identification With Cascaded Pairwise Convolutions

Camera Lens Super-Resolution

Compact Feature Learning for Multi-Domain Image Classification

Camera Trace Erasing

M-LVC: Multiple Frames Prediction for Learned Video Compression

Deep Structure-Revealed Network for Texture Recognition

Multi-Modality Cross Attention Network for Image and Sentence Matching

Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning

Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer

Lesion-Aware Transformers for Diabetic Retinopathy Grading

Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark

Action Unit Memory Network for Weakly Supervised Temporal Action Localization

Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection

Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition

Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading

Camouflaged Instance Segmentation via Explicit De-Camouflaging

Adaptive Spot-Guided Transformer for Consistent Local Feature Matching

DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective

D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers

Structure-Aware Correspondence Learning for Relative Pose Estimation

Learning to Assemble Neural Module Tree Networks for Visual Grounding

Foreground Activation Maps for Weakly Supervised Object Localization

Task-Aware Part Mining Network for Few-Shot Learning

Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation

GET: Group Event Transformer for Event-Based Vision

Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation

Cross-Modality Transformer for Visible-Infrared Person Re-identification

JPEG Artifacts Reduction via Deep Convolutional Sparse Coding

Conical Visual Concentration for Efficient Large Vision-Language Models

FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program

Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation

Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration

Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Stochastic Window Transformer for Image Restoration

A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation

State Sequences Prediction via Fourier Transform for Representation Learning