Search Results for author: Aniket Bera

Found 29 papers, 6 papers with code

Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes

no code implementations13 Sep 2022 James F. Mullen Jr, Divya Kothandaraman, Aniket Bera, Dinesh Manocha

We compare our method, which we call PAAK, with prior approaches, including POSA, PROX ground truth, and a motion synthesis method, and highlight the benefits of our method with a perceptual study.

Motion Synthesis

3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos

no code implementations CVPR 2022 Vikram Gupta, Trisha Mittal, Puneet Mathur, Vaibhav Mishra, Mayank Maheshwari, Aniket Bera, Debdoot Mukherjee, Dinesh Manocha

We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj.

MET: Multimodal Perception of Engagement for Telehealth

no code implementations17 Nov 2020 Pooja Guhan, Naman Awasthi, and Kathryn McDonald, Kristin Bussell, Dinesh Manocha, Gloria Reeves, Aniket Bera

To tackle the scarcity of publicly available datasets in the telemental health space, we release a new dataset, MEDICA, for mental health patient engagement detection.

RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks

no code implementations17 Nov 2020 Videsh Suman, Aniket Bera

A key aspect of driving a road vehicle is to interact with the other road users, assess their intentions and make risk-aware tactical decisions.

Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation

no code implementations1 Nov 2020 Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera

We utilize both these trust metrics into an optimal cognitive reasoning scheme that decides when and when not to trust the given guidance.

Navigate Robot Navigation

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues

no code implementations14 Mar 2020 Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

Additionally, we extract and compare affective cues corresponding to perceived emotion from the two modalities within a video to infer whether the input video is "real" or "fake".

DeepFake Detection Face Swapping

ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation

1 code implementation2 Mar 2020 Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, Aniket Bera

Our approach predicts the perceived emotions of a pedestrian from walking gaits, which is then used for emotion-guided navigation taking into account social and proxemic constraints.

Emotion Classification Emotion Recognition +3

The Liar's Walk: Detecting Deception with Gait and Gesture

no code implementations14 Dec 2019 Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha

We present a data-driven deep neural algorithm for detecting deceptive walking behavior using nonverbal cues like gaits and gestures.

Action Classification

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs

no code implementations arXiv 2019 Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha

In practice, our approach reduces the average prediction error by more than 54% over prior algorithms and achieves a weighted average accuracy of 91. 2% for behavior prediction.


M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

no code implementations9 Nov 2019 Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

Our approach combines cues from multiple co-occurring modalities (such as face, text, and speech) and also is more robust than other methods to sensor noise in any of the individual modalities.

Multimodal Emotion Recognition

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

1 code implementation28 Oct 2019 Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha

We use hundreds of annotated real-world gait videos and augment them with thousands of annotated synthetic gaits generated using a novel generative network called STEP-Gen, built on an ST-GCN based Conditional Variational Autoencoder (CVAE).

General Classification

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs

1 code implementation20 Jul 2019 Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, Dinesh Manocha

RobustTP is an approach that first computes trajectories using a combination of a non-linear motion model and a deep learning-based instance segmentation algorithm.


FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics

no code implementations30 Jun 2019 Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis, Kurt Gray, Dinesh Manocha

We also investigate the perception of a user in an AR setting and observe that an FVA has a statistically significant improvement in terms of the perceived friendliness and social presence of a user compared to an agent without the friendliness modeling.

RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments

1 code implementation25 Jun 2019 Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha

We present a realtime tracking algorithm, RoadTrack, to track heterogeneous road-agents in dense traffic videos.


Identifying Emotions from Walking using Affective and Deep Features

no code implementations14 Jun 2019 Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha

We also present an EWalk (Emotion Walk) dataset that consists of videos of walking individuals with gaits and labeled emotions.

Emotion Recognition

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions

2 code implementations CVPR 2019 Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha

We evaluate the performance of our prediction algorithm, TraPHic, on the standard datasets and also introduce a new dense, heterogeneous traffic dataset corresponding to urban Asian videos and agent trajectories.


Pedestrian Dominance Modeling for Socially-Aware Robot Navigation

no code implementations15 Oct 2018 Tanmay Randhavane, Aniket Bera, Emily Kubin, Austin Wang, Kurt Gray, Dinesh Manocha

We present a Pedestrian Dominance Model (PDM) to identify the dominance characteristics of pedestrians for robot navigation.


Data-Driven Modeling of Group Entitativity in Virtual Environments

no code implementations28 Sep 2018 Aniket Bera, Tanmay Randhavane, Emily Kubin, Husam Shaik, Kurt Gray, Dinesh Manocha

We also present a novel interactive multi-agent simulation algorithm to model entitative groups and conduct a VR user study to validate the socio-emotional predictive power of our algorithm.

Graphics Human-Computer Interaction

PORCA: Modeling and Planning for Autonomous Driving among Many Pedestrians

no code implementations30 May 2018 Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha

Our planning system combines a POMDP algorithm with the pedestrian motion model and runs in near real time.


Identifying Driver Behaviors using Trajectory Features for Vehicle Navigation

no code implementations2 Mar 2018 Ernest Cheung, Aniket Bera, Emily Kubin, Kurt Gray, Dinesh Manocha

We present a novel approach to automatically identify driver behaviors from vehicle trajectories and use them for safe navigation of autonomous vehicles.


Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models

no code implementations16 Sep 2014 Aniket Bera, David Wolinski, Julien Pettré, Dinesh Manocha

We automatically compute the optimal parameters for each of these different models based on prior tracked data and use the best model as motion prior for our particle-filter based tracking algorithm.

Combinatorial Optimization

Realtime Multilevel Crowd Tracking using Reciprocal Velocity Obstacles

no code implementations11 Feb 2014 Aniket Bera, Dinesh Manocha

We present a novel, realtime algorithm to compute the trajectory of each pedestrian in moderately dense crowd scenes.

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