92 citations · 111 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
Action Recognition based on Cross-Situational Action-object Statistics
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng +3
Machine learning models of visual action recognition are typically trained and tested on data from specific situations where actions are associated with certain objects. It is an o…
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…
Controlling the Quality of Distillation in Response-Based Network Compression
Vibhas Vats, David Crandall
The performance of a distillation-based compressed network is governed by the quality of distillation. The reason for the suboptimal distillation of a large network (teacher) to a…
DeepDiary: Automatic Caption Generation for Lifelogging Image Streams
Chenyou Fan, David J. Crandall
Lifelogging cameras capture everyday life from a first-person perspective, but generate so much data that it is hard for users to browse and organize their image collections effect…