Authors · raw publication identity
Tatsuya Harada
2022–2026 LIVE
データの修正を申請Googleログイン後に申請できます。内容を確認してから対応します。
対象会議の検証済み掲載データを、全分野・選択したEditionでまとめています。過去の論文は出版・論文種別・著者との対応を確認できたものから追加しており、全発表論文の網羅を保証するものではありません。著者ページだけへの追加分は大学ランキングの件数に含みません。著者ページは、公開時の所属大学IDと論文上の著者名の完全一致を基に作成しています。本人の業績一覧などで同一人物の論文と個別に確認できた場合は、所属が異なる論文も追加します。氏名だけの自動名寄せは行いません。表示する大学はこのページの識別用で、掲載した全論文の出版時所属や現在所属を示すものではありません。研究者の総合順位を表すものでもありません。
著者ページの大学: 東京大学 · Top conference papers: 28
分野別内訳
分野別の本数はcross-listにより重なる場合があります。合計本数は同一論文を1本に数えます。
論文一覧（新しい年順）
- Bridging Theory and Practice in Source-Free Domain Adaptation via Adversarial Proxy Perturbation
- Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging
- Linear Fusion MultiDiffusion for Fast Training-Free Spherical Panorama Generation
- Unsupervised Domain Adaptation for Robust Imitation Learning under Visual Perturbations
- Learning Hierarchical Skill Policies with Offline Quality-Diversity Reinforcement Learning
- A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains
- Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment
- Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
- I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions
- Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
- Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning
- Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments
- Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning
- RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
- Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks
- Generalizable and Animatable Gaussian Head Avatar
- Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
- Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
- Fully Spiking Variational Autoencoder
- Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes
- Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective
- Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects
- Deforming Radiance Fields with Cages
- Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection
- Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations
- Unsupervised Pose-Aware Part Decomposition for Man-Made Articulated Objects
- Non-rigid Point Cloud Registration with Neural Deformation Pyramid