Wei-Lun Chao

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