411 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Samsung (United States)US4 papers
- International Institute of Information Technology, HyderabadIN2 papers
- Samsung (South Korea)KR2 papers
- Thapar Institute of Engineering & TechnologyIN2 papers
- Virginia TechUS2 papers
- Amazon (United States)US1 paper
- Indian Institute of Science BangaloreIN1 paper
- Indian Institute of Technology BombayIN1 paper
- Indian Institute of Technology DelhiIN1 paper
- Indian Institute of Technology GuwahatiIN1 paper
- Indian Institute of Technology KanpurIN1 paper
- Indian Institute of Technology RoparIN1 paper
19 papers · 1 filter
PhysID: Physics-based Interactive Dynamics from a Single-view Image
Sourabh Vasant Gothe, Ayon Chattopadhyay, Gunturi Venkata Sai Phani Kiran +6
Transforming static images into interactive experiences remains a challenging task in computer vision. Tackling this challenge holds the potential to elevate mobile user experience…
Adjust Your Focus: Defocus Deblurring From Dual-Pixel Images Using Explicit Multi-Scale Cross-Correlation
Kunal Swami
Defocus blur is a common problem in photography. It arises when an image is captured with a wide aperture, resulting in a shallow depth of field. Sometimes it is desired, e.g., in…
What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection
Sourabh Vasant Gothe, Vibhav Agarwal, Sourav Ghosh +3
Generic Event Boundary Detection (GEBD) task aims to recognize generic, taxonomy-free boundaries that segment a video into meaningful events. Current methods typically involve a ne…
Enhancing Classification with Hierarchical Scalable Query on Fusion Transformer
Sudeep Kumar Sahoo, Sathish Chalasani, Abhishek Joshi +1
Real-world vision based applications require fine-grained classification for various area of interest like e-commerce, mobile applications, warehouse management, etc. where reducin…
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
Harichandana B S S, Vibhav Agarwal, Sourav Ghosh +3
With 3.78 billion social media users worldwide in 2021 (48% of the human population), almost 3 billion images are shared daily. At the same time, a consistent evolution of smartpho…
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
Prasen Kumar Sharma, Arun Abraham, Vikram Nelvoy Rajendiran
Quantizing the floating-point weights and activations of deep convolutional neural networks to fixed-point representation yields reduced memory footprints and inference time. Recen…
STRIDE : Scene Text Recognition In-Device
Rachit S Munjal, Arun D Prabhu, Nikhil Arora +2
Optical Character Recognition (OCR) systems have been widely used in various applications for extracting semantic information from images. To give the user more control over their…
FONTNET: On-Device Font Understanding and Prediction Pipeline
Rakshith S, Rishabh Khurana, Vibhav Agarwal +2
Fonts are one of the most basic and core design concepts. Numerous use cases can benefit from an in depth understanding of Fonts such as Text Customization which can change text in…
On-Device Document Classification using multimodal features
Sugam Garg, Harichandana, Sumit Kumar
From small screenshots to large videos, documents take up a bulk of space in a modern smartphone. Documents in a phone can accumulate from various sources, and with the high storag…
On-Device Text Image Super Resolution
Dhruval Jain, Arun D Prabhu, Gopi Ramena +4
Recent research on super-resolution (SR) has witnessed major developments with the advancements of deep convolutional neural networks. There is a need for information extraction fr…
On-Device Language Identification of Text in Images using Diacritic Characters
Shubham Vatsal, Nikhil Arora, Gopi Ramena +4
Diacritic characters can be considered as a unique set of characters providing us with adequate and significant clue in identifying a given language with considerably high accuracy…
GAZED- Gaze-guided Cinematic Editing of Wide-Angle Monocular Video Recordings
K L Bhanu Moorthy, Moneish Kumar, Ramanathan Subramaniam +1
We present GAZED- eye GAZe-guided EDiting for videos captured by a solitary, static, wide-angle and high-resolution camera. Eye-gaze has been effectively employed in computational…
On-device Filtering of Social Media Images for Efficient Storage
Dhruval Jain, DP Mohanty, Sanjeev Roy +2
Artificially crafted images such as memes, seasonal greetings, etc are flooding the social media platforms today. These eventually start occupying a lot of internal memory of smart…
Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network
Abhay Kumar, Nishant Jain, Chirag Singh +1
This paper presents a novel approach to exploit the distinctive invariant features in convolutional neural network. The proposed CNN model uses Scale Invariant Feature Transform (S…
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
Vishal Keshav, Tej Pratap GVSL
This paper presents a novel design methodology for architecting a light-weight and faster DNN architecture for vision applications. The effectiveness of the architecture is demonst…
Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks
Kunal Swami, Pranav P. Deshpande, Gaurav Khandelwal +1
Image orientation detection requires high-level scene understanding. Humans use object recognition and contextual scene information to correctly orient images. In literature, the p…
Audio Visual Speech Recognition using Deep Recurrent Neural Networks
Abhinav Thanda, Shankar M Venkatesan
In this work, we propose a training algorithm for an audio-visual automatic speech recognition (AV-ASR) system using deep recurrent neural network (RNN).First, we train a deep RNN…
Hierarchical Deep Learning Architecture For 10K Objects Classification
Atul Laxman Katole, Krishna Prasad Yellapragada, Amish Kumar Bedi +2
Evolution of visual object recognition architectures based on Convolutional Neural Networks & Convolutional Deep Belief Networks paradigms has revolutionized artificial Vision Scie…
Image Processing based Systems and Techniques for the Recognition of Ancient and Modern Coins
Shatrughan Modi, Dr. Seema Bawa
Coins are frequently used in everyday life at various places like in banks, grocery stores, supermarkets, automated weighing machines, vending machines etc. So, there is a basic ne…