activity
20142020
most citedAn Analysis of Pre-Training on Object Detection

33 citations · 171 across the 20 of their papers we have counts for

collaborators

20 papers

cs.CV202020 cited

All About Knowledge Graphs for Actions

Pallabi Ghosh, Nirat Saini, Larry S. Davis +1

Current action recognition systems require large amounts of training data for recognizing an action. Recent works have explored the paradigm of zero-shot and few-shot learning to l…

cs.CV20202 cited

InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

Jun Wang, Shiyi Lan, Mingfei Gao +1

Real-time 3D object detection is crucial for autonomous cars. Achieving promising performance with high efficiency, voxel-based approaches have received considerable attention. How…

cs.CV20191 cited

Recognizing Instagram Filtered Images with Feature De-stylization

Zhe Wu, Zuxuan Wu, Bharat Singh +1

Deep neural networks have been shown to suffer from poor generalization when small perturbations are added (like Gaussian noise), yet little work has been done to evaluate their ro…

cs.CV201931 cited

LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition

Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang +1

This paper presents LiteEval, a simple yet effective coarse-to-fine framework for resource efficient video recognition, suitable for both online and offline scenarios. Exploiting d…

cs.CV20192 cited

Fashion Outfit Complementary Item Retrieval

Yen-Liang Lin, Son Tran, Larry S. Davis

Complementary fashion item recommendation is critical for fashion outfit completion. Existing methods mainly focus on outfit compatibility prediction but not in a retrieval setting…

cs.CV20191 cited

A weakly supervised adaptive triplet loss for deep metric learning

Xiaonan Zhao, Huan Qi, Rui Luo +1

We address the problem of distance metric learning in visual similarity search, defined as learning an image embedding model which projects images into Euclidean space where semant…