activity
20132021
most citedComposition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

61 citations · 86 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2021

Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting

Yuehai Chen, Jing Yang, Dong Zhang +3

Background noise and scale variation are common problems that have been long recognized in crowd counting. Humans glance at a crowd image and instantly know the approximate number…

cs.CV2021★ 2 cited

Learning Calibrated-Guidance for Object Detection in Aerial Images

Zongqi Wei, Dong Liang, Dong Zhang +4

Object detection is one of the most fundamental yet challenging research topics in the domain of computer vision. Recently, the study on this topic in aerial images has made tremen…

cs.CV2020★ 7 cited

Feature Pyramid Transformer

Dong Zhang, Hanwang Zhang, Jinhui Tang +3

Feature interactions across space and scales underpin modern visual recognition systems because they introduce beneficial visual contexts. Conventionally, spatial contexts are pass…

cs.CV2018★ 61 cited

Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

Haroon Idrees, Muhmmad Tayyab, Kishan Athrey +4

With multiple crowd gatherings of millions of people every year in events ranging from pilgrimages to protests, concerts to marathons, and festivals to funerals; visual crowd analy…

cs.CV2017

Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions

Amir Mazaheri, Dong Zhang, Mubarak Shah

Given a video and a description sentence with one missing word (we call it the "source sentence"), Video-Fill-In-the-Blank (VFIB) problem is to find the missing word automatically.…

cs.CV2017

Unsupervised Action Proposal Ranking through Proposal Recombination

Waqas Sultani, Dong Zhang, Mubarak Shah

Recently, action proposal methods have played an important role in action recognition tasks, as they reduce the search space dramatically. Most unsupervised action proposal methods…

cs.CV2017★ 1 cited

ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information

Rodney LaLonde, Dong Zhang, Mubarak Shah

Object detection in wide area motion imagery (WAMI) has drawn the attention of the computer vision research community for a number of years. WAMI proposes a number of unique challe…

cs.CV2016★ 15 cited

Video Fill in the Blank with Merging LSTMs

Amir Mazaheri, Dong Zhang, Mubarak Shah

Given a video and its incomplete textural description with missing words, the Video-Fill-in-the-Blank (ViFitB) task is to automatically find the missing word. The contextual inform…

cs.CV2016

Local feature hierarchy for face recognition across pose and illumination

Xiaoyue Jiang, Dong Zhang, Xiaoyi Feng

Even though face recognition in frontal view and normal lighting condition works very well, the performance degenerates sharply in extreme conditions. Recently there are many work…

cs.CV2016

A Framework for Human Pose Estimation in Videos

Dong Zhang, Mubarak Shah

In this paper, we present a method to estimate a sequence of human poses in unconstrained videos. We aim to demonstrate that by using temporal information, the human pose estimatio…

cs.CV2013

Face Verification Using Boosted Cross-Image Features

Dong Zhang, Omar Oreifej, Mubarak Shah

This paper proposes a new approach for face verification, where a pair of images needs to be classified as belonging to the same person or not. This problem is relatively new and n…