activity
20152026
most citedMOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

650 citations · 762 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

cs.CV202025 cited

Diverse Image Captioning with Context-Object Split Latent Spaces

Shweta Mahajan, Stefan Roth

Diverse image captioning models aim to learn one-to-many mappings that are innate to cross-domain datasets, such as of images and texts. Current methods for this task are based on…

cs.CV2020

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking

Patrick Dendorfer, Aljoša Ošep, Anton Milan +5

Standardized benchmarks have been crucial in pushing the performance of computer vision algorithms, especially since the advent of deep learning. Although leaderboards should not b…

cs.CV2020

LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

Wentong Liao, Xiang Chen, Jingfeng Yang +4

State-of-the-art object detection approaches such as Fast/Faster R-CNN, SSD, or YOLO have difficulties detecting dense, small targets with arbitrary orientation in large aerial ima…

cs.CV2020

Single-Stage Semantic Segmentation from Image Labels

Nikita Araslanov, Stefan Roth

Recent years have seen a rapid growth in new approaches improving the accuracy of semantic segmentation in a weakly supervised setting, i.e. with only image-level labels available…

cs.CV2020

Self-Supervised Monocular Scene Flow Estimation

Junhwa Hur, Stefan Roth

Scene flow estimation has been receiving increasing attention for 3D environment perception. Monocular scene flow estimation -- obtaining 3D structure and 3D motion from two tempor…

cs.LG20201 cited

Normalizing Flows with Multi-Scale Autoregressive Priors

Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz +2

Flow-based generative models are an important class of exact inference models that admit efficient inference and sampling for image synthesis. Owing to the efficiency constraints o…