Hao Lu
53 papers · 2017–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (95) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(23)
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Keyword Champion
(6)
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Grand Slam
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Topic Evolution
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Renaissance Researcher
(8)
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Unstoppable Β· Silver
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Prolific Year Β· Prolific
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Century Club Β· Silver
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Keyword Collector
(235)
Venues
Top co-authors
Research topics
Computer Vision
(26)
Machine Learning
(25)
Deep Learning
(21)
Artificial Intelligence
(19)
Core AI
(18)
Learning Types Β· Machine Learning
(13)
Learning Types Β· Deep Learning
(13)
Processing
(13)
Analysis
(12)
Core Methods
(10)
Architectures
(8)
Application Areas
(7)
Domain-Specific
(6)
Healthcare & Medicine
(5)
Natural Language Processing
(5)
Keywords
image matting
(6)
object detection
(5)
semantic segmentation
(5)
depth estimation
(4)
multimodal large language model
(4)
remote photoplethysmography
(3)
class-agnostic counting
(3)
alpha matte
(3)
reinforcement learning
(3)
large language model
(3)
image cropping
(3)
crowd counting
(2)
dense prediction
(2)
domain generalization
(2)
domain shift
(2)
3d gaussian splatting
(2)
video understanding
(2)
novel view synthesis
(2)
multimodal learning
(2)
vision transformer
(2)
Papers
ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Video Understanding
CVPR 2026
EVA: Efficient Reinforcement Learning for End-to-End Video Agent
CVPR 2026
GaussianMatch: Semi-Supervised Regression with Pseudo-Label Filtering via Multi-View Gaussian Consistency
CVPR 2026
IPFormer: Instance Prompt-guided Transformer for Multi-modal Multi-shot Video Understanding
AAAI 2026
MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration
AAAI 2026
MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
CVPR 2026
Momentum Memory for Knowledge Distillation in Computational Pathology
CVPR 2026
Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species
CVPR 2026
PolarGuide-GSDR: 3D Gaussian Splatting Driven by Polarization Priors and Deferred Reflection for Real-World Reflective Scenes
CVPR 2026
SwiftEP: Accelerating MoE Inference with Buffer Fusion and TMA Offloading
NSDI 2026
Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters
NSDI 2025
MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models
CVPR 2025
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
CVPR 2025
RhythmGuassian: Repurposing Generalizable Gaussian Model For Remote Physiological Measurement
ICCV 2025
Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning
MICCAI 2025
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering
AAAI 2025
Training Matting Models Without Alpha Labels
AAAI 2025
An Incremental Unified Framework for Small Defect Inspection
ECCV 2024
Backdoor Contrastive Learning via Bi-level Trigger Optimization
ICLR 2024
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement
ECCV 2024
HAWK: Learning to Understand Open-World Video Anomalies
NeurIPS 2024
In-Context Matting
CVPR 2024
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator
ECCV 2024
Unifying Automatic and Interactive Matting with Pretrained ViTs
CVPR 2024
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
AAAI 2024
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
ICCV 2023
Fast Full-frame Video Stabilization with Iterative Optimization
ICCV 2023
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
AAAI 2023
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
AAAI 2023
Learning Second-Order Attentive Context for Efficient Correspondence Pruning
AAAI 2023
Learning to Upsample by Learning to Sample
ICCV 2023
Neuron Structure Modeling for Generalizable Remote Physiological Measurement
CVPR 2023
Point-Query Quadtree for Crowd Counting, Localization, and More
ICCV 2023
3D Instances as 1D Kernels
ECCV 2022
BokehMe: When Neural Rendering Meets Classical Rendering
CVPR 2022
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling
ECCV 2022
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects
ECCV 2022
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting
CVPR 2022
Robust Object Detection with Inaccurate Bounding Boxes
ECCV 2022
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
NeurIPS 2022
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
ICML 2021
Composing Photos Like a Photographer
CVPR 2021
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement
CVPR 2021
Learning Affinity-Aware Upsampling for Deep Image Matting
CVPR 2021
TransView: Inside, Outside, and Across the Cropping View Boundaries
ICCV 2021
A Learning-based Iterative Method for Solving Vehicle Routing Problems
ICLR 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
ECCV 2020
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
ICCV 2019
Indices Matter: Learning to Index for Deep Image Matting
ICCV 2019
Monocular Relative Depth Perception With Web Stereo Data Supervision
CVPR 2018
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
EMNLP 2018
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference
ICML 2018
When Unsupervised Domain Adaptation Meets Tensor Representations
ICCV 2017