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20152022
most citedLarge-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

53 citations · 133 across the 17 of their papers we have counts for

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11 papers · 1 filter

cs.CV2021

Beyond Image to Depth: Improving Depth Prediction using Echoes

Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

We address the problem of estimating depth with multi modal audio visual data. Inspired by the ability of animals, such as bats and dolphins, to infer distance of objects with echo…

cs.CV2021

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…

cs.CV2019

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…

cs.CV201921 cited

DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds

Siddharth Srivastava, Brejesh Lall

Learning local descriptors is an important problem in computer vision. While there are many techniques for learning local patch descriptors for 2D images, recently efforts have bee…

cs.CV2017

Enhanced Characterness for Text Detection in the Wild

Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava +1

Text spotting is an interesting research problem as text may appear at any random place and may occur in various forms. Moreover, ability to detect text opens the horizons for impr…

cs.CV2017

Object Classification using Ensemble of Local and Deep Features

Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall +1

In this paper we propose an ensemble of local and deep features for object classification. We also compare and contrast effectiveness of feature representation capability of variou…