Jian Yang

134

Papers

526

Total Citations

Papers (134)

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Frequency-Spatial Entanglement Learning for Camouflaged Object Detection

LightRNN: Memory and Computation-Efficient Recurrent Neural Networks

NeurIPS 2016arXiv

OmniBench: Towards The Future of Universal Omni-Language Models

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking

McEval: Massively Multilingual Code Evaluation

STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution

EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing

MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion

From Words to Worth: Newborn Article Impact Prediction with LLM

RNG: Relightable Neural Gaussians

Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video

UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset

LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending

Fundamental Matrix Estimation Using Relative Depths

SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation

Zero-shot RGB-D Point Cloud Registration with Pre-trained Large Vision Model

Large Margin Discriminant Dimensionality Reduction in Prediction Space

Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability

Relaxed Rotational Equivariance via G-Biases in Vision

Describe, Don’t Dictate: Semantic Image Editing with Natural Language Intent

StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning

Reverse Convolution and Its Applications to Image Restoration

Divide and Conquer: Hybrid Pre-training for Person Search

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

Multi-Attribute Interactions Matter for 3D Visual Grounding

Tri-Perspective View Decomposition for Geometry-Aware Depth Completion

Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling

Generative Point Cloud Registration

Image Super-Resolution via Deep Recursive Residual Network

Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal

FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors

Occluded Pedestrian Detection Through Guided Attention in CNNs

Selective Kernel Networks

Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift

Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation

DSFD: Dual Shot Face Detector

Pattern-Structure Diffusion for Multi-Task Learning

Online Depth Learning Against Forgetting in Monocular Videos

Cross-Modal Pattern-Propagation for RGB-T Tracking

Sequential 3D Human Pose and Shape Estimation From Point Clouds

Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length

Norm-Aware Embedding for Efficient Person Search

Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition

Learning Normal Dynamics in Videos With Meta Prototype Network

Globally Optimal Relative Pose Estimation With Gravity Prior

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection

Contrastive Embedding for Generalized Zero-Shot Learning

CVNet: Contour Vibration Network for Building Extraction

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information

Relative Pose From a Calibrated and an Uncalibrated Smartphone Image

A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos

Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation

Bi-Level Alignment for Cross-Domain Crowd Counting

Robust Outlier Rejection for 3D Registration With Variational Bayes

Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields

Self-Supervised 3D Scene Flow Estimation Guided by Superpoints

Curricular Object Manipulation in LiDAR-Based Object Detection

3D-Aware Multi-Class Image-to-Image Translation With NeRFs

Revisiting the P3P Problem

Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

MemNet: A Persistent Memory Network for Image Restoration

An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction

Cross-X Learning for Fine-Grained Visual Categorization

Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration

Superpoint Network for Point Cloud Oversegmentation

Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark

Pyramid Point Cloud Transformer for Large-Scale Place Recognition

Scribble-Supervised Semantic Segmentation Inference

Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation

Efficient LiDAR Point Cloud Oversegmentation Network

Few-shot Continual Infomax Learning

Large Selective Kernel Network for Remote Sensing Object Detection

Creative Birds: Self-Supervised Single-View 3D Style Transfer

Progressive Point Cloud Deconvolution Generation Network

Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning

Graph Wasserstein Correlation Analysis for Movie Retrieval

Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval

RigNet: Repetitive Image Guided Network for Depth Completion

RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

Class-Agnostic Object Counting Robust to Intraclass Diversity

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval

From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models

WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion

InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption

Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios

RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark

Three-view Focal Length Recovery From Homographies

Sketchy Bounding-box Supervision for 3D Instance Segmentation

VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction

HORP: Human-Object Relation Priors Guided HOI Detection

Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection

DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

DuCos: Duality Constrained Depth Super-Resolution via Foundation Model

Straighten Viscous Rectified Flow via Noise Optimization

GSRecon: Efficient Generalizable Gaussian Splatting for Surface Reconstruction from Sparse Views

RAGD: Regional-Aware Diffusion Model for Text-to-Image Generation

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving

Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method

Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis

Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction

Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow

XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning

Fine-Tuning Language Models with Collaborative and Semantic Experts

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning

SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation

Hyperbolic Graph Diffusion Model

Curvilinear Distance Metric Learning

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval

Universal Semi-Supervised Learning

3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds

Learning Contrastive Embedding in Low-Dimensional Space

RecursiveMix: Mixed Learning with History

Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

Learning Superpoint Graph Cut for 3D Instance Segmentation

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation

Fine-Grained Visual Prompting