activity
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

collaborators

29 papers

cs.AI20213 cited

Learning Causal Models of Autonomous Agents using Interventions

Pulkit Verma, Siddharth Srivastava

One of the several obstacles in the widespread use of AI systems is the lack of requirements of interpretability that can enable a layperson to ensure the safe and reliable behavio…

cs.SD20211 cited

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…

cs.AI2021

Planning for Proactive Assistance in Environments with Partial Observability

Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati

This paper addresses the problem of synthesizing the behavior of an AI agent that provides proactive task assistance to a human in settings like factory floors where they may coexi…

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.DS2021

Bandgap optimization in combinatorial graphs with tailored ground states: Application in Quantum annealing

Siddhartha Srivastava, Veera Sundararaghavan

A mixed-integer linear programming (MILP) formulation is presented for parameter estimation of the Potts model. Two algorithms are developed; the first method estimates the paramet…