3 citations · 6 across the 11 of their papers we have counts for
14 papers
Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
Binaural audio gives the listener an immersive experience and can enhance augmented and virtual reality. However, recording binaural audio requires specialized setup with a dummy h…
Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention
Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali +1
Binaural audio gives the listener the feeling of being in the recording place and enhances the immersive experience if coupled with AR/VR. But the problem with binaural audio recor…
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
Siddharth Srivastava, Gaurav Sharma
We propose simple yet effective improvements in point representations and local neighborhood graph construction within the general framework of graph neural networks (GNNs) for 3D…
Discriminative Semantic Transitive Consistency for Cross-Modal Learning
Kranti Kumar Parida, Gaurav Sharma
Cross-modal retrieval is generally performed by projecting and aligning the data from two different modalities onto a shared representation space. This shared space often also acts…
Object Detection with a Unified Label Space from Multiple Datasets
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma +3
Given multiple datasets with different label spaces, the goal of this work is to train a single object detector predicting over the union of all the label spaces. The practical ben…
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos
Kranti Kumar Parida, Neeraj Matiyali, Tanaya Guha +1
We present an audio-visual multimodal approach for the task of zeroshot learning (ZSL) for classification and retrieval of videos. ZSL has been studied extensively in the recent pa…
Video Person Re-Identification using Learned Clip Similarity Aggregation
Neeraj Matiyali, Gaurav Sharma
We address the challenging task of video-based person re-identification. Recent works have shown that splitting the video sequences into clips and then aggregating clip based simil…
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
Siddharth Srivastava, Frederic Jurie, Gaurav Sharma
We address the problem of 3D object detection from 2D monocular images in autonomous driving scenarios. We propose to lift the 2D images to 3D representations using learned neural…
Zero-Shot Object Detection
Ankan Bansal, Karan Sikka, Gaurav Sharma +2
We introduce and tackle the problem of zero-shot object detection (ZSD), which aims to detect object classes which are not observed during training. We work with a challenging set…
Unsupervised Learning of Face Representations
Samyak Datta, Gaurav Sharma, C. V. Jawahar
We present an approach for unsupervised training of CNNs in order to learn discriminative face representations. We mine supervised training data by noting that multiple faces in th…
Multichannel Attention Network for Analyzing Visual Behavior in Public Speaking
Rahul Sharma, Tanaya Guha, Gaurav Sharma
Public speaking is an important aspect of human communication and interaction. The majority of computational work on public speaking concentrates on analyzing the spoken content, a…
Large Scale Novel Object Discovery in 3D
Siddharth Srivastava, Gaurav Sharma, Brejesh Lall
We present a method for discovering never-seen-before objects in 3D point clouds obtained from sensors like Microsoft Kinect. We generate supervoxels directly from the point cloud…
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos
Amlan Kar, Nishant Rai, Karan Sikka +1
We propose a novel method for temporally pooling frames in a video for the task of human action recognition. The method is motivated by the observation that there are only a small…
LOMo: Latent Ordinal Model for Facial Analysis in Videos
Karan Sikka, Gaurav Sharma, Marian Bartlett
We study the problem of facial analysis in videos. We propose a novel weakly supervised learning method that models the video event (expression, pain etc.) as a sequence of automat…