← Authors

Wei-Lun Chao

62 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (103) 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (12) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ‘₯ Mega-Team (22) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (8) ❓ The Questioner πŸ’Ž Century Club (62) πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (238) πŸ“ˆ Trend Setter

Conferences

CVPR (20) ICLR (12) NIPS (11) ICCV (9) WACV (3) ECCV (2) NAACL (2) AAAI (1) EMNLP (1) ICML (1)

Top co-authors

Bharath Hariharan (14) Mark Campbell (14) Kilian Q. Weinberger (13) Yurong You (9) Yu Su (9) Tanya Berger-Wolf (9) Hong-You Chen (9) Tai-Yu Pan (8) Yan Wang (8) Fei Sha (8)

Research topics

Core AI (1)

Keywords

3d object detection (8) transfer learning (7) visual question answering (6) object detection (6) autonomous driving (6) domain adaptation (5) depth estimation (4) zero-shot learning (4) multimodal learning (4) fine-grained classification (3) vision transformer (3) long-tailed distribution (3) multi-modal learning (3) point cloud (2) visual recognition (2) semantic segmentation (2) contrastive learning (2) image generation (2) feature extraction (2) few-shot learning (2)

Papers

Splannequin: Freezing Monocular Mannequin-Challenge Footage with Dual-Detection Splatting WACV 2026
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting WACV 2026
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images CVPR 2025
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning ICLR 2025
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later ICLR 2025
Learning 3D Perception from Others' Predictions ICLR 2025
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits ICLR 2025
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration ICCV 2025
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation ICCV 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene CVPR 2025
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition CVPR 2025
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation CVPR 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis CVPR 2025
BioCLIP: A Vision Foundation Model for the Tree of Life CVPR 2024
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis ICLR 2024
Pre-training LiDAR-based 3D Object Detectors through Colorization ICLR 2024
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs NIPS 2024
DiffuBox: Refining 3D Object Detection with Point Diffusion NIPS 2024
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images NIPS 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction NIPS 2024
Fine-Tuning is Fine, if Calibrated NIPS 2024
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution ECCV 2024
Dual-View Visual Contextualization for Web Navigation CVPR 2024
Towards Open-World Segmentation of Parts CVPR 2023
Learning Fractals by Gradient Descent AAAI 2023
Train-Once-for-All Personalization CVPR 2023
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning CVPR 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective ICCV 2023
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models ICCV 2023
PreSTU: Pre-Training for Scene-Text Understanding ICCV 2023
On the Importance and Applicability of Pre-Training for Federated Learning ICLR 2023
One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones CVPR 2022
Learning with Free Object Segments for Long-Tailed Instance Segmentation ECCV 2022
How to Train Your MAML to Excel in Few-Shot Classification ICLR 2022
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception ICLR 2022
On Bridging Generic and Personalized Federated Learning for Image Classification ICLR 2022
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving NIPS 2022
Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions CVPR 2022
Learning To Detect Mobile Objects From LiDAR Scans Without Labels CVPR 2022
Revisiting Document Representations for Large-Scale Zero-Shot Learning NAACL 2021
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021
Gradual Domain Adaptation without Indexed Intermediate Domains NIPS 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NIPS 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering EMNLP 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection ICCV 2021
Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation ICCV 2021
Procrustean Training for Imbalanced Deep Learning ICCV 2021
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving ICLR 2020
Visual Question Answering on 360deg Images WACV 2020
Wasserstein Distances for Stereo Disparity Estimation NIPS 2020
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize CVPR 2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection CVPR 2020
A New Defense Against Adversarial Images: Turning a Weakness into a Strength NIPS 2019
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving CVPR 2019
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets NAACL 2018
Learning Answer Embeddings for Visual Question Answering CVPR 2018
Cross-Dataset Adaptation for Visual Question Answering CVPR 2018
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning ICCV 2017
Synthesized Classifiers for Zero-Shot Learning CVPR 2016
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016
Exponential Integration for Hamiltonian Monte Carlo ICML 2015
Diverse Sequential Subset Selection for Supervised Video Summarization NIPS 2014