Search Results for author:
Found 14 papers, 4 papers with code
Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record
A wealth of important clinical information lies untouched in the Electronic Health Record, often in the form of unstructured textual documents.
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
Large language models (LLMs) hold great promise for medical applications and are evolving rapidly, with new models being released at an accelerated pace.
VideoPanda: Video Panoramic Diffusion with Multi-view Attention
High resolution panoramic video content is paramount for immersive experiences in Virtual Reality, but is non-trivial to collect as it requires specialized equipment and intricate camera setups.
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control
We introduce Cosmos-Transfer, a conditional world generation model that can generate world simulations based on multiple spatial control inputs of various modalities such as segmentation, depth, and edge.
L4GM: Large 4D Gaussian Reconstruction Model
We present L4GM, the first 4D Large Reconstruction Model that produces animated objects from a single-view video input -- in a single feed-forward pass that takes only a second.
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
Recent text-to-3D generation approaches produce impressive 3D results but require time-consuming optimization that can take up to an hour per prompt.
ATT3D: Amortized Text-to-3D Object Synthesis
Text-to-3D modelling has seen exciting progress by combining generative text-to-image models with image-to-3D methods like Neural Radiance Fields.
Learning Human Dynamics in Autonomous Driving Scenarios
In this work, we propose a holistic framework for learning physically plausible human dynamics from real driving scenarios, narrowing the gap between real and simulated human behavior in safety-critical applications.
Physics-based Human Motion Estimation and Synthesis from Videos
By enabling learning of motion synthesis from video, our method paves the way for large-scale, realistic and diverse motion synthesis.
KAMA: 3D Keypoint Aware Body Mesh Articulation
We present KAMA, a 3D Keypoint Aware Mesh Articulation approach that allows us to estimate a human body mesh from the positions of 3D body keypoints.
Ranked #58 on
3D Human Pose Estimation
on 3DPW
gradSim: Differentiable simulation for system identification and visuomotor control
We consider the problem of estimating an object's physical properties such as mass, friction, and elasticity directly from video sequences.
Latent Skill Planning for Exploration and Transfer
To quickly solve new tasks in complex environments, intelligent agents need to build up reusable knowledge.
Continual Model-Based Reinforcement Learning with Hypernetworks
Effective planning in model-based reinforcement learning (MBRL) and model-predictive control (MPC) relies on the accuracy of the learned dynamics model.
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Recent works in high-dimensional model-predictive control and model-based reinforcement learning with learned dynamics and reward models have resorted to population-based optimization methods, such as the Cross-Entropy Method (CEM), for planning a sequence of actions.
Model-based Reinforcement Learning
Model Predictive Control
+1
