5 citations · 5 across the 3 of their papers we have counts for
5 papers
RnGCam: High-speed video from rolling & global shutter measurements
Kevin Tandi, Xiang Dai, Chinmay Talegaonkar +2
Compressive video capture encodes a short high-speed video into a single measurement using a low-speed sensor, then computationally reconstructs the original video. Prior implement…
Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues
Chinmay Talegaonkar, Nikhil Gandudi Suresh, Zachary Novack +3
Recent monocular metric depth estimation (MMDE) methods have made notable progress towards zero-shot generalization. However, they still exhibit a significant performance drop on o…
Volumetrically Consistent 3D Gaussian Rasterization
Chinmay Talegaonkar, Yash Belhe, Ravi Ramamoorthi +1
Recently, 3D Gaussian Splatting (3DGS) has enabled photorealistic view synthesis at high inference speeds. However, its splatting-based rendering model makes several approximations…
Pose Estimation of Buried Deep-Sea Objects using 3D Vision Deep Learning Models
Jerry Yan, Chinmay Talegaonkar, Nicholas Antipa +2
We present an approach for pose and burial fraction estimation of debris field barrels found on the seabed in the Southern California San Pedro Basin. Our computational workflow le…
Visual Physics: Discovering Physical Laws from Videos
Pradyumna Chari, Chinmay Talegaonkar, Yunhao Ba +1
In this paper, we teach a machine to discover the laws of physics from video streams. We assume no prior knowledge of physics, beyond a temporal stream of bounding boxes. The probl…