15 citations · 15 across the 2 of their papers we have counts for
5 papers
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
Matthew Dutson, Nathan Labiosa, Yin Li +1
When applied sequentially to video, frame-based networks often exhibit temporal inconsistency - for example, outputs that flicker between frames. This problem is amplified when the…
Recovering Parametric Scenes from Very Few Time-of-Flight Pixels
Carter Sifferman, Yiquan Li, Yiming Li +4
We aim to recover the geometry of 3D parametric scenes using very few depth measurements from low-cost, commercially available time-of-flight sensors. These sensors offer very low…
Robust 3D Object Detection using Probabilistic Point Clouds from Single-Photon LiDARs
Bhavya Goyal, Felipe Gutierrez-Barragan, Wei Lin +3
LiDAR-based 3D sensors provide point clouds, a canonical 3D representation used in various scene understanding tasks. Modern LiDARs face key challenges in several real-world scenar…
Towards 3D Vision with Low-Cost Single-Photon Cameras
Fangzhou Mu, Carter Sifferman, Sacha Jungerman +5
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras. These cameras,…
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision
Xin Zhao, Shiyu Hu, Yipei Wang +8
Single object tracking (SOT) is a fundamental problem in computer vision, with a wide range of applications, including autonomous driving, augmented reality, and robot navigation.…