91 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Science BangaloreIN28 papers
- Indian Institute of Technology MadrasIN12 papers
- University of FreiburgDE7 papers
- Carnegie Mellon UniversityUS5 papers
- Robert Bosch (Germany)DE5 papers
- Robert Bosch (United States)US5 papers
- Karlsruhe Institute of TechnologyDE4 papers
- Robert Bosch (Taiwan)TW4 papers
- Technical University of MunichDE4 papers
- University of TübingenDE4 papers
- Intel (United States)US3 papers
- Leibniz University HannoverDE3 papers
12 papers · 1 filter
Open Ad-hoc Categorization with Contextualized Feature Learning
Zilin Wang, Sangwoo Mo, Stella X. Yu +2
Adaptive categorization of visual scenes is essential for AI agents to handle changing tasks. Unlike fixed common categories for plants or animals, ad-hoc categories are created dy…
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels
Xiwei Xuan, Xiaoqi Wang, Wenbin He +4
The advances in multi-modal foundation models (FMs) (e.g., CLIP and LLaVA) have facilitated the auto-labeling of large-scale datasets, enhancing model performance in challenging do…
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
Leon Mlodzian, Zhigang Sun, Hendrik Berkemeyer +5
Trajectory prediction in traffic scenes involves accurately forecasting the behaviour of surrounding vehicles. To achieve this objective it is crucial to consider contextual inform…
Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas
Vasantha Ramani, Pandarasamy Arjunan, Kameshwar Poolla +1
This work presents the analysis of semantically segmented, longitudinally, and spatially rich thermal images collected at the neighborhood scale to identify hot and cool spots in u…
Long-Distance Gesture Recognition using Dynamic Neural Networks
Shubhang Bhatnagar, Sharath Gopal, Narendra Ahuja +1
Gestures form an important medium of communication between humans and machines. An overwhelming majority of existing gesture recognition methods are tailored to a scenario where hu…
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
Subin Lin, Vasantha Ramani, Miguel Martin +6
The paper describes a dataset that was collected by infrared thermography, which is a non-contact, non-intrusive technique to collect data and analyze the built environment in vari…
Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment
Sreetama Das, Anirban Nag, Dhruba Adhikary +4
Social distancing has been suggested as one of the most effective measures to break the chain of viral transmission in the current COVID-19 pandemic. We herein describe a computer…
Does enhanced shape bias improve neural network robustness to common corruptions?
Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher +3
Convolutional neural networks (CNNs) learn to extract representations of complex features, such as object shapes and textures to solve image recognition tasks. Recent work indicate…
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Nadine Behrmann, Juergen Gall, Mehdi Noroozi
This paper introduces a novel method for self-supervised video representation learning via feature prediction. In contrast to the previous methods that focus on future feature pred…
Adversarial and Natural Perturbations for General Robustness
Sadaf Gulshad, Jan Hendrik Metzen, Arnold Smeulders
In this paper we aim to explore the general robustness of neural network classifiers by utilizing adversarial as well as natural perturbations. Different from previous works which…
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra +1
Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations. The key idea is to rank the fil…
Prediction of Manipulation Actions
Cornelia Fermüller, Fang Wang, Yezhou Yang +4
Looking at a person's hands one often can tell what the person is going to do next, how his/her hands are moving and where they will be, because an actor's intentions shape his/her…