activity
20152023
most citedDeep Perceptual Mapping for Cross-Modal Face Recognition

79 citations · 608 across the 98 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 8 cited

DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing

Kailun Yang, Xinxin Hu, Hao Chen +3

Semantically interpreting the traffic scene is crucial for autonomous transportation and robotics systems. However, state-of-the-art semantic segmentation pipelines are dominantly…

cs.CV2019★ 13 cited

Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss

M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid +1

Generative adversarial networks has emerged as a defacto standard for image translation problems. To successfully drive such models, one has to rely on additional networks e.g., di…

cs.CV2019

DynamoNet: Dynamic Action and Motion Network

Ali Diba, Vivek Sharma, Luc Van Gool +1

In this paper, we are interested in self-supervised learning the motion cues in videos using dynamic motion filters for a better motion representation to finally boost human action…

cs.CV2019

Large Scale Holistic Video Understanding

Ali Diba, Mohsen Fayyaz, Vivek Sharma +4

Video recognition has been advanced in recent years by benchmarks with rich annotations. However, research is still mainly limited to human action or sports recognition - focusing…

cs.CV2019

Self-Supervised Learning of Face Representations for Video Face Clustering

Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz +1

Analyzing the story behind TV series and movies often requires understanding who the characters are and what they are doing. With improving deep face models, this may seem like a s…

cs.CV2019★ 16 cited

Efficient Parameter-free Clustering Using First Neighbor Relations

M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen

We present a new clustering method in the form of a single clustering equation that is able to directly discover groupings in the data. The main proposition is that the first neigh…