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19992023
most citedMulti-View Spectral Clustering via Structured Low-Rank Matrix Factorization

433 citations · 1.1k across the 33 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CV2020

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting

Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu +1

We address the problem of image-based crowd counting. In particular, we propose a new problem called unlabeled scene-adaptive crowd counting. Given a new target scene, we would lik…

astro-ph.GA2020★ 18 cited

Large-scale Map of Millimeter-wavelength Hydrogen Radio Recombination Lines around a Young Massive Star Cluster

Q. Nguyen-Luong, L. D. Anderson, L. D. +19

We report the first map of large-scale (10 pc in length) emission of millimeter-wavelength hydrogen recombination lines (mm-RRLs) toward the giant H II region around the W43-Main y…

cs.CV2020★ 3 cited

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation

Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang

We consider the problem of sentence specified dynamic video thumbnail generation. Given an input video and a user query sentence, the goal is to generate a video thumbnail that not…

cs.CV2020★ 4 cited

Adaptive Video Highlight Detection by Learning from User History

Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye +1

Recently, there is an increasing interest in highlight detection research where the goal is to create a short duration video from a longer video by extracting its interesting momen…

cs.CV2020★ 4 cited

Few-shot Scene-adaptive Anomaly Detection

Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy +1

We address the problem of anomaly detection in videos. The goal is to identify unusual behaviours automatically by learning exclusively from normal videos. Most existing approaches…

cs.CV2020★ 7 cited

Cross-Modal Weighting Network for RGB-D Salient Object Detection

Gongyang Li, Zhi Liu, Linwei Ye +2

Depth maps contain geometric clues for assisting Salient Object Detection (SOD). In this paper, we propose a novel Cross-Modal Weighting (CMW) strategy to encourage comprehensive i…