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20162023
most citedJoint Detection and Tracking in Videos with Identification Features

18 citations · 91 across the 28 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 10 cited

SF-UDA: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

Cristiano Saltori, Stéphane Lathuiliére, Nicu Sebe +2

3D object detectors based only on LiDAR point clouds hold the state-of-the-art on modern street-view benchmarks. However, LiDAR-based detectors poorly generalize across domains due…

cs.CV2020

Class Interference Regularization

Bharti Munjal, Sikandar Amin, Fabio Galasso

Contrastive losses yield state-of-the-art performance for person re-identification, face verification and few shot learning. They have recently outperformed the cross-entropy loss…

cs.CV2020★ 18 cited

Joint Detection and Tracking in Videos with Identification Features

Bharti Munjal, Abdul Rafey Aftab, Sikandar Amin +3

Recent works have shown that combining object detection and tracking tasks, in the case of video data, results in higher performance for both tasks, but they require a high frame-r…

cs.CV2020

An integrated light management system with real-time light measurement and human perception

Theodore Tsesmelis, Irtiza Hasan, Marco Cristani +2

Illumination is important for well-being, productivity and safety across several environments, including offices, retail shops and industrial warehouses. Current techniques for set…

cs.CV2020

Transformer Networks for Trajectory Forecasting

Francesco Giuliari, Irtiza Hasan, Marco Cristani +1

Most recent successes on forecasting the people motion are based on LSTM models and all most recent progress has been achieved by modelling the social interaction among people and…