5 citations · 11 across the 6 of their papers we have counts for
6 papers
Time Blindness: Why Video-Language Models Can't See What Humans Can?
Ujjwal Upadhyay, Mukul Ranjan, Zhiqiang Shen +1
Recent advances in vision-language models (VLMs) have made impressive strides in understanding spatio-temporal relationships in videos. However, when spatial information is obscure…
3DCoMPaT: An improved Large-scale 3D Vision Dataset for Compositional Recognition
Habib Slim, Xiang Li, Yuchen Li +8
In this work, we present 3DCoMPaT, a multimodal 2D/3D dataset with 160 million rendered views of more than 10 million stylized 3D shapes carefully annotated at the part-inst…
Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning
Arunkumar Govindarajan, Arjun Agarwal, Subhankar Chattoraj +5
Head Non-contrast computed tomography (NCCT) scan remain the preferred primary imaging modality due to their widespread availability and speed. However, the current standard for ma…
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement
Ujjwal Upadhyay, Mukul Ranjan, Satish Golla +5
A stroke occurs when an artery in the brain ruptures and bleeds or when the blood supply to the brain is cut off. Blood and oxygen cannot reach the brain's tissues due to the ruptu…
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay, Prerana Mukherjee
Traditional adversarial attacks rely upon the perturbations generated by gradients from the network which are generally safeguarded by gradient guided search to provide an adversar…
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wild
Subham Banga, Ujjwal Upadhyay, Piyush Agarwal +2
Speech emotion analysis is an important task which further enables several application use cases. The non-verbal sounds within speech utterances also play a pivotal role in emotion…