Deva Ramanan
収録論文 35本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Scaling Short-Term Memory of Visuomotor Policies for Long-Horizon Tasks2026/6/1
- CRISP: Contact-Guided Real2Sim from Monocular Video with Planar Scene Primitives2025/12/1
- Any4D: Unified Feed-Forward Metric 4D Reconstruction2025/12/1
- Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations2025/11/1
- MapAnything: Universal Feed-Forward Metric 3D Reconstruction2025/9/1
- HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos2025/9/1
- Prompt-to-Product: Generative Assembly via Bimanual Manipulation2025/8/1
- UFM: A Simple Path towards Unified Dense Correspondence with Flow2025/6/1
- BETTY Dataset: A Multi-modal Dataset for Full-Stack Autonomy2025/5/1
- InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning2025/5/1
- RefAV: Towards Planning-Centric Scenario Mining2025/5/1
- Fast and Modular Autonomy Software for Autonomous Racing Vehicles2024/8/1
- Planning with Adaptive World Models for Autonomous Driving2024/6/1
- Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection2024/6/1
- Better Call SAL: Towards Learning to Segment Anything in Lidar2024/3/1
- SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM2023/12/1
- Long-Tailed 3D Detection via Multi-Modal Fusion2023/12/1
- DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation2023/12/1
- Lidar Panoptic Segmentation and Tracking without Bells and Whistles2023/10/1
- An Empirical Analysis of Range for 3D Object Detection2023/8/1
- Joint Metrics Matter: A Better Standard for Trajectory Forecasting2023/5/1
- SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos2023/4/1
- Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting2023/1/1
- Towards Long-Tailed 3D Detection2022/11/1
- Far3Det: Towards Far-Field 3D Detection2022/11/1
- Differentiable Raycasting for Self-supervised Occupancy Forecasting2022/10/1
- Robust Modeling and Controls for Racing on the Edge2022/5/1
- Forecasting from LiDAR via Future Object Detection2022/3/1
- Learning to Move with Affordance Maps2020/1/1
- Hierarchical Deep Stereo Matching on High-resolution Images2019/12/1
- Learning to Optimally Segment Point Clouds2019/12/1
- Inferring Distributions Over Depth from a Single Image2019/12/1
- What You See is What You Get: Exploiting Visibility for 3D Object Detection2019/12/1
- Argoverse: 3D Tracking and Forecasting with Rich Maps2019/11/1
- PixelNet: Representation of the pixels, by the pixels, and for the pixels2017/2/1