متابعة
Apratim Bhattacharyya
Apratim Bhattacharyya
Qualcomm AI Research
بريد إلكتروني تم التحقق منه على qti.qualcomm.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
2972019
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
2782017
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
1322018
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
1022019
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
892022
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods‏
A Bhattacharyya, M Fritz, B Schiele‏
International Conference on Learning Representations (ICLR), 2019, 2019‏
562019
Sdfstudio: A unified framework for surface reconstruction‏
Z Yu, A Chen, B Antic, SP Peng, A Bhattacharyya, M Niemeyer, S Tang, ...‏
402022
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
40*2021
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
402021
Long-Term Image Boundary Prediction‏
A Bhattacharyya, M Malinowski, B Schiele, M Fritz‏
AAAI Conference on Artificial Intelligence, 2018, 2016‏
27*2016
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
242017
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
19*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
182020
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
10*2024
Long Term On-Board Prediction of Pedestrians in Traffic Scenes‏
A Bhattacharyya, M Fritz, B Schiele‏
Conference on Robot Learning (CoRL), 2017‏
92017
Painter: Teaching Auto-regressive Language Models to Draw Sketches‏
R Pourreza, A Bhattacharyya, S Panchal, M Lee, P Madan, R Memisevic‏
ICCV Workshops, 2023‏
62023
Machine learnable system with conditional normalizing flow‏
A Bhattacharyya, CN Straehle‏
US Patent App. 16/919,955, 2021‏
62021
"Best-of-Many-Samples" Distribution Matching‏
A Bhattacharyya, M Fritz, B Schiele‏
NeurIPS Workshop on Bayesian Deep Learning, 2019, 2019‏
42019
Training and data synthesis and probability inference using nonlinear conditional normalizing flow model‏
A Bhattacharyya, CN Straehle‏
US Patent App. 16/922,748, 2021‏
32021
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
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مقالات 1–20