activity
20152023
most citedUA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

142 citations · 327 across the 24 of their papers we have counts for

collaborators

25 papers

cs.CV2023

Open Set Action Recognition via Multi-Label Evidential Learning

Chen Zhao, Dawei Du, Anthony Hoogs +1

Existing methods for open-set action recognition focus on novelty detection that assumes video clips show a single action, which is unrealistic in the real world. We propose a new…

cs.CV2022★ 1 cited

Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition

Dawei Du, Ameya Shringi, Anthony Hoogs +1

Most action recognition datasets and algorithms assume a closed world, where all test samples are instances of the known classes. In open set problems, test samples may be drawn fr…

cs.CV2022★ 1 cited

Human Activity Recognition in an Open World

Derek S. Prijatelj, Samuel Grieggs, Jin Huang +6

Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization out…

cs.CV2022★ 3 cited

MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification

Daniel Davila, Dawei Du, Bryon Lewis +8

In this paper, we present the Multi-view Extended Videos with Identities (MEVID) dataset for large-scale, video person re-identification (ReID) in the wild. To our knowledge, MEVID…

cs.CV2022

Unbiased Multi-Modality Guidance for Image Inpainting

Yongsheng Yu, Dawei Du, Libo Zhang +1

Image inpainting is an ill-posed problem to recover missing or damaged image content based on incomplete images with masks. Previous works usually predict the auxiliary structures…

cs.CV2022★ 9 cited

Multi-Granularity Alignment Domain Adaptation for Object Detection

Wenzhang Zhou, Dawei Du, Libo Zhang +2

Domain adaptive object detection is challenging due to distinctive data distribution between source domain and target domain. In this paper, we propose a unified multi-granularity…