326 citations · 717 across the 90 of their papers we have counts for
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Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models
Mohammed Safi Ur Rahman Khan, Sanjay Suryanarayanan, Tushar Anand +1
Large Vision-Language Models (VLMs) are increasingly used to evaluate outputs of other models, for image-to-text (I2T) tasks such as visual question answering, and text-to-image (T…
IndicDLP: A Foundational Dataset for Multi-Lingual and Multi-Domain Document Layout Parsing
Oikantik Nath, Sahithi Kukkala, Mitesh Khapra +1
Document layout analysis is essential for downstream tasks such as information retrieval, extraction, OCR, and digitization. However, existing large-scale datasets like PubLayNet a…
Can Vision-Language Models Evaluate Handwritten Math?
Oikantik Nath, Hanani Bathina, Mohammed Safi Ur Rahman Khan +1
Recent advancements in Vision-Language Models (VLMs) have opened new possibilities in automatic grading of handwritten student responses, particularly in mathematics. However, a co…
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Pritha Ganguly, Nitesh Methani, Mitesh M. Khapra +1
Are existing object detection methods adequate for detecting text and visual elements in scientific plots which are arguably different than the objects found in natural images? To…
PlotQA: Reasoning over Scientific Plots
Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra +1
Existing synthetic datasets (FigureQA, DVQA) for reasoning over plots do not contain variability in data labels, real-valued data, or complex reasoning questions. Consequently, pro…
Efficient Video Classification Using Fewer Frames
Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
Recently,there has been a lot of interest in building compact models for video classification which have a small memory footprint (<1 GB). While these models are compact, they typi…
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames
Shweta Bhardwaj, Mitesh M. Khapra
Over the past few years, various tasks involving videos such as classification, description, summarization and question answering have received a lot of attention. Current models f…
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…