Huchuan Lu

128

Papers

365

Total Citations

Papers (128)

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation

Unsupervised Video Object Segmentation with Joint Hotspot Tracking

Multi-view Aggregation Network for Dichotomous Image Segmentation

SUTrack: Towards Simple and Unified Single Object Tracking

Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM

UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory

The Devil is in Temporal Token: High Quality Video Reasoning Segmentation

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models

Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking

EvSign: Sign Language Recognition and Translation with Streaming Events

CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification

ReNeg: Learning Negative Embedding with Reward Guidance

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity

Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding

Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion

CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting

Efficient Motion Prompt Learning for Robust Visual Tracking

Sample-Specific SVM Learning for Person Re-Identification

STCT: Sequentially Training Convolutional Networks for Visual Tracking

Learning to Detect Salient Objects With Image-Level Supervision

Correlation Tracking via Joint Discrimination and Reliability Learning

Progressive Attention Guided Recurrent Network for Salient Object Detection

Learning to Promote Saliency Detectors

A Bi-Directional Message Passing Model for Salient Object Detection

Learning Dual Convolutional Neural Networks for Low-Level Vision

Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection

Deep Mutual Learning

Learning Spatial-Aware Regressions for Visual Tracking

Attentive Feedback Network for Boundary-Aware Salient Object Detection

Visual Tracking via Adaptive Spatially-Regularized Correlation Filters

ROI Pooled Correlation Filters for Visual Tracking

CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection

Multi-Source Weak Supervision for Saliency Detection

A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision

Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network

Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises

Bi-Directional Relationship Inferring Network for Referring Image Segmentation

Select, Supplement and Focus for RGB-D Saliency Detection

SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation

A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection

High-Performance Long-Term Tracking With Meta-Updater

Multi-Scale Interactive Network for Salient Object Detection

Pose-Guided Visible Part Matching for Occluded Person ReID

Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation

Calibrated RGB-D Salient Object Detection

Transformer Tracking

LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search

Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation

Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators

Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification

Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images

Multi-Target Domain Adaptation With Collaborative Consistency Learning

Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection

Multi-Object Tracking Meets Moving UAV

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation

Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

Zoom in and Out: A Mixed-Scale Triplet Network for Camouflaged Object Detection

Representation Learning for Visual Object Tracking by Masked Appearance Transfer

SeqTrack: Sequence to Sequence Learning for Visual Object Tracking

GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images

Compression-Aware Video Super-Resolution

MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection

Universal Instance Perception As Object Discovery and Retrieval

ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data

Visual Prompt Multi-Modal Tracking

Visual Tracking With Fully Convolutional Networks

Amulet: Aggregating Multi-Level Convolutional Features for Salient Object Detection

Learning Uncertain Convolutional Features for Accurate Saliency Detection

Stepwise Metric Promotion for Unsupervised Video Person Re-Identification

A Stagewise Refinement Model for Detecting Salient Objects in Images

'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking

Fast Video Object Segmentation via Dynamic Targeting Network

Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification

GradNet: Gradient-Guided Network for Visual Object Tracking

Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation

Towards High-Resolution Salient Object Detection

Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion

Deep Learning for Light Field Saliency Detection

Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?

MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection

CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction

Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation

Learning Spatio-Temporal Transformer for Visual Tracking

Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection

Video Annotation for Visual Tracking via Selection and Refinement

Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation

Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking

Segment Every Reference Object in Spatial and Temporal Spaces

Adaptive Illumination Mapping for Shadow Detection in Raw Images

Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation

Exploring Transformers for Open-world Instance Segmentation

CiteTracker: Correlating Image and Text for Visual Tracking

Suppress and Balance: A Simple Gated Network for Salient Object Detection

CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss

Accurate RGB-D Salient Object Detection via Collaborative Learning

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection

Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection

Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation

Towards Grand Unification of Object Tracking

MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection

United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning

Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection

DefMamba: Deformable Visual State Space Model

IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification

CAT: A Unified Click-and-Track Framework for Realistic Tracking

VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior

FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning

MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt

Large Occluded Human Image Completion via Image-Prior Cooperating

DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation

Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters

Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline

Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception

Spider: A Unified Framework for Context-dependent Concept Segmentation

Saliency Detection via Cellular Automata

Salient Object Detection via Bootstrap Learning

Subspace Clustering by Mixture of Gaussian Regression

Deep Networks for Saliency Detection via Local Estimation and Global Search

Memory-oriented Decoder for Light Field Salient Object Detection

Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection

Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels