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Apratim Bhattacharyya
Apratim Bhattacharyya
Qualcomm AI Research
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
Cited by
Year
Updates-leak: Data set inference and reconstruction attacks in online learning
A Salem, A Bhattacharya, M Backes, M Fritz, Y Zhang
USENIX Security Symposium (USENIX Security), 2020., 2019
2562019
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
A Bhattacharyya, M Fritz, B Schiele
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
2402017
Accurate and diverse sampling of sequences based on a “best of many” sample objective
A Bhattacharyya, B Schiele, M Fritz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1192018
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle
NeurIPS Workshop on Machine Learning for Autonomous Driving, 2019, 2019
902019
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
N Hanselmann, K Renz, K Chitta, A Bhattacharyya, A Geiger
ECCV 2022, 2022
652022
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
A Bhattacharyya, M Fritz, B Schiele
International Conference on Learning Representations (ICLR), 2019, 2019
532019
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
A Bhattacharyya, DO Reino, M Fritz, B Schiele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
342021
Long-Term Image Boundary Prediction
A Bhattacharyya, M Malinowski, B Schiele, M Fritz
AAAI Conference on Artificial Intelligence, 2018, 2016
27*2016
Sdfstudio: A unified framework for surface reconstruction
Z Yu, A Chen, B Antic, SP Peng, A Bhattacharyya, M Niemeyer, S Tang, ...
232022
Efficiently summarising event sequences with rich interleaving patterns
A Bhattacharyya, J Vreeken
Proceedings of the 2017 SIAM International Conference on Data Mining, 795-803, 2017
212017
SampleFix: learning to correct programs by sampling diverse fixes
H Hajipour, A Bhattacharyya, CA Staicu, M Fritz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
202021
Normalizing Flows with Multi-Scale Autoregressive Priors
S Mahajan, A Bhattacharyya, M Fritz, B Schiele, S Roth
Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2020
17*2020
Haar Wavelet based Block Autoregressive Flows for Trajectories
A Bhattacharyya, CN Straehle, M Fritz, B Schiele
German Conference on Pattern Recognition (GCPR), 2020, 2020
162020
Samplefix: Learning to generate functionally diverse fixes
H Hajipour, A Bhattacharyya, CA Staicu, M Fritz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
14*2021
Long Term On-Board Prediction of Pedestrians in Traffic Scenes
A Bhattacharyya, M Fritz, B Schiele
Conference on Robot Learning (CoRL), 2017
92017
Machine learnable system with conditional normalizing flow
A Bhattacharyya, CN Straehle
US Patent App. 16/919,955, 2021
52021
"Best-of-Many-Samples" Distribution Matching
A Bhattacharyya, M Fritz, B Schiele
NeurIPS Workshop on Bayesian Deep Learning, 2019, 2019
42019
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
A Bhattacharyya, S Panchal, M Lee, R Pourreza, P Madan, R Memisevic
International Conference on Learning Representations (ICLR), 2024
3*2024
Method and system for training a model for image generation
DO Reino, A Bhattacharyya, M Fritz, B Schiele
US Patent App. 17/610,004, 2022
22022
Painter: Teaching Auto-regressive Language Models to Draw Sketches
R Pourreza, A Bhattacharyya, S Panchal, M Lee, P Madan, R Memisevic
ICCV Workshops, 2023
12023
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