Computer Vision @ Carnegie Mellon
People Research Courses
Detecting Invisible People
Human-to-Robot Imitation in the Wild
Fuzzy Metaballs: Approximate Differentiable Rendering with Algebraic Surfaces
Dataset Distillation by Matching Training Trajectories
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Compositional and Scalable Object SLAM
Shelf-Supervised Mesh Prediction in the Wild
Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
Dual-Shutter Optical Vibration Sensing
Ensembling Off-the-shelf Models for GAN Training
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds
Differentiable Raycasting for Self-supervised Occupancy Forecasting
Sequential Voting with Relational Box Fields for Active Object Detection

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