Aniket Bera

Orcid: 0000-0002-0182-6985

According to our database1, Aniket Bera authored at least 122 papers between 2011 and 2024.

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Bibliography

2024
Graph-Based Decentralized Task Allocation for Multi-Robot Target Localization.
IEEE Robotics Autom. Lett., November, 2024

Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone Connectivity.
CoRR, 2024

EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering.
CoRR, 2024

COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models.
CoRR, 2024

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models.
CoRR, 2024

Multi-Robot Informative Path Planning for Efficient Target Mapping using Deep Reinforcement Learning.
CoRR, 2024

Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion.
CoRR, 2024

Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM.
CoRR, 2024

Hyper-SAMARL: Hypergraph-based Coordinated Task Allocation and Socially-aware Navigation for Multi-Robot Systems.
CoRR, 2024

MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification.
CoRR, 2024

TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation.
CoRR, 2024

Adaptive Planning with Generative Models under Uncertainty.
CoRR, 2024

Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs.
CoRR, 2024

Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues.
CoRR, 2024

MTAC: Hierarchical Reinforcement Learning-based Multi-gait Terrain-adaptive Quadruped Controller.
CoRR, 2024

Trajectory Prediction for Robot Navigation using Flow-Guided Markov Neural Operator.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Speech2UnifiedExpressions: Synchronous Synthesis of Co-Speech Affective Face and Body Expressions from Affordable Inputs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation.
CoRR, 2023

MIRACLE: Inverse Reinforcement and Curriculum Learning Model for Human-inspired Mobile Robot Navigation.
CoRR, 2023

DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems.
CoRR, 2023

HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System.
CoRR, 2023

Crowd-Aware Multi-Agent Pathfinding With Boosted Curriculum Reinforcement Learning.
CoRR, 2023

Graph-based Decentralized Task Allocation for Multi-Robot Target Localization.
CoRR, 2023

ARTEMIS: AI-driven Robotic Triage Labeling and Emergency Medical Information System.
CoRR, 2023

DF-TransFusion: Multimodal Deepfake Detection via Lip-Audio Cross-Attention and Facial Self-Attention.
CoRR, 2023

AffectEcho: Speaker Independent and Language-Agnostic Emotion and Affect Transfer for Speech Synthesis.
CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.
CoRR, 2023

DanceAnyWay: Synthesizing Mixed-Genre 3D Dance Movements Through Beat Disentanglement.
CoRR, 2023

Fast Resolution Agnostic Neural Techniques to Solve Partial Differential Equations.
CoRR, 2023

Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

IEEE VR 2023 Workshops.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks.
IROS, 2023

DroNeRF: Real-Time Multi-Agent Drone Pose Optimization for Computing Neural Radiance Fields.
IROS, 2023

SG-LSTM: Social Group LSTM for Robot Navigation Through Dense Crowds.
IROS, 2023

AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

EWareNet: Emotion-Aware Pedestrian Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior.
IEEE Trans. Intell. Transp. Syst., 2022

PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators.
CoRR, 2022

NIO: Lightweight neural operator-based architecture for video frame interpolation.
CoRR, 2022

Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs.
CoRR, 2022

ENI: Quantifying Environment Compatibility for Natural Walking in Virtual Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2022

Learning Gait Emotions Using Affective and Deep Features.
Proceedings of the MIG '22: ACM SIGGRAPH Conference on Motion, Interaction and Games, Guanajuato, Mexico, November 3, 2022

Contextualized Styling of Images for Web Interfaces using Reinforcement Learning.
Proceedings of the IEEE International Symposium on Multimedia, 2022

3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Redirected Walking in Static and Dynamic Scenes Using Visibility Polygons.
IEEE Trans. Vis. Comput. Graph., 2021

ARC: Alignment-based Redirection Controller for Redirected Walking in Complex Environments.
IEEE Trans. Vis. Comput. Graph., 2021

Modeling Data-Driven Dominance Traits for Virtual Characters Using Gait Analysis.
IEEE Trans. Vis. Comput. Graph., 2021

Multimodal and Context-Aware Emotion Perception Model With Multiplicative Fusion.
IEEE Multim., 2021

Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents.
CoRR, 2021

Redirection Using Alignment.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents**This work has been supported in part by ARO Grants W911NF1910069 and W911NF1910315, and Intel. Code and additional materials available at: https: //gamma.umd.edu/t2g.
Proceedings of the IEEE Virtual Reality and 3D User Interfaces, 2021

Can a Robot Trust You? : A DRL-Based Approach to Trust-Driven Human-Guided Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contextual Emotion Learning Challenge.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs.
IEEE Robotics Autom. Lett., 2020

EWareNet: Emotion Aware Human Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation.
CoRR, 2020

RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks.
CoRR, 2020

ABC-Net: Semi-Supervised Multimodal GAN-based Engagement Detection using an Affective, Behavioral and Cognitive Model.
CoRR, 2020

SeekNet: Improved Human Instance Segmentation via Reinforcement Learning Based Optimized Robot Relocation.
CoRR, 2020

StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories.
CoRR, 2020

Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues.
CoRR, 2020

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression.
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020

ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

CMetric: A Driving Behavior Measure using Centrality Functions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

How are you feeling? Multimodal Emotion Learning for Socially-Assistive Robot Navigation.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping.
Proceedings of the Computer Vision - ECCV 2020, 2020

EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics.
IEEE Trans. Vis. Comput. Graph., 2019

LCrowdV: Generating labeled videos for pedestrian detectors training and crowd behavior learning.
Neurocomputing, 2019

The Liar's Walk: Detecting Deception with Gait and Gesture.
CoRR, 2019

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping.
CoRR, 2019

Identifying Emotions from Walking using Affective and Deep Features.
CoRR, 2019

RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments.
CoRR, 2019

The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments.
CoRR, 2019

Learning Perceived Emotion Using Affective and Deep Features for Mental Health Applications.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2019

DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Pedestrian Dominance Modeling for Socially-Aware Robot Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

The Emotionally Intelligent Robot: Improving Socially-aware Human Prediction in Crowded Environments.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Improving Socially-aware Multi-channel Human Emotion Prediction for Robot Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Modelling Multi-Channel Emotions Using Facial Expression and Trajectory Cues for Improving Socially-Aware Robot Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs.
Proceedings of the ACM Computer Science in Cars Symposium, 2019

EVA: Generating Emotional Behavior of Virtual Agents using Expressive Features of Gait and Gaze.
Proceedings of the ACM Symposium on Applied Perception 2019, 2019

2018
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians.
IEEE Robotics Autom. Lett., 2018

Interactive Surveillance Technologies for Dense Crowds.
CoRR, 2018

Autonomous Driving among Many Pedestrians: Models and Algorithms.
CoRR, 2018

Data-driven modeling of group entitativity in virtual environments.
Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 2018

Identifying Driver Behaviors Using Trajectory Features for Vehicle Navigation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

The Socially Invisible Robot Navigation in the Social World Using Robot Entitativity.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Efficient and Safe Vehicle Navigation Based on Driver Behavior Classification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
F2FCrowds: Planning Agent Movements to Enable Face-to-Face Interactions.
Presence Teleoperators Virtual Environ., 2017

STD-PD: Generating Synthetic Training Data for Pedestrian Detection in Unannotated Videos.
CoRR, 2017

SocioSense: Robot navigation amongst pedestrians with social and psychological constraints.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Realtime Pedestrian Tracking and Prediction in Dense Crowds.
Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016
Interactive Crowd-Behavior Learning for Surveillance and Training.
IEEE Computer Graphics and Applications, 2016

Online parameter learning for data-driven crowd simulation and content generation.
Comput. Graph., 2016

Interactive and adaptive data-driven crowd simulation.
Proceedings of the 2016 IEEE Virtual Reality, 2016

Interactive and adaptive data-driven crowd simulation: User study.
Proceedings of the 2016 IEEE Virtual Reality, 2016

GLMP- realtime pedestrian path prediction using global and local movement patterns.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

LCrowdV: Generating Labeled Videos for Simulation-Based Crowd Behavior Learning.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Realtime Anomaly Detection Using Trajectory-Level Crowd Behavior Learning.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning.
Proceedings of the 2015 IEEE International Symposium on Multimedia, 2015

REACH - Realtime crowd tracking using a hybrid motion model.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Efficient trajectory extraction and parameter learning for data-driven crowd simulation.
Proceedings of the 41st Graphics Interface Conference, Halifax, NS, Canada, June 3-5, 2015, 2015

2014
Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models.
CoRR, 2014

AdaPT: Real-time adaptive pedestrian tracking for crowded scenes.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2011
Scene flow estimation from stereo video source.
Proceedings of the International Conference on Advances in Computing and Artificial Intelligence, 2011


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