213 citations · 963 across the 50 of their papers we have counts for
47 papers · 1 filter
Semantic Privacy Protection with Utility Preservation for 3D Point Clouds
Jinchang zhang, Jiakai Lin, David Crandall +1
Point cloud data face serious semantic privacy risks during acquisition, transmission, and cross-institutional sharing. Existing methods mostly rely on geometric perturbation or de…
Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision
Samuel Goree, David Crandall
In her influential 1988 paper, Situated Knowledges, Donna Haraway uses vision and perspective as a metaphor to discuss scientific knowledge. Today, egocentric computer vision discu…
SePaint: Semantic Map Inpainting via Multinomial Diffusion
Zheng Chen, Deepak Duggirala, David Crandall +2
Prediction beyond partial observations is crucial for robots to navigate in unknown environments because it can provide extra information regarding the surroundings beyond the curr…
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin, Jianbing Shen, Xin Gao +2
Previous works for LiDAR-based 3D object detection mainly focus on the single-frame paradigm. In this paper, we propose to detect 3D objects by exploiting temporal information in m…
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
One-shot fine-grained visual recognition often suffers from the problem of having few training examples for new fine-grained classes. To alleviate this problem, off-the-shelf image…
Error Diagnosis of Deep Monocular Depth Estimation Models
Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase +3
Estimating depth from a monocular image is an ill-posed problem: when the camera projects a 3D scene onto a 2D plane, depth information is inherently and permanently lost. Neverthe…