Follow
Karttikeya Mangalam
Karttikeya Mangalam
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Multiscale vision transformers
H Fan*, B Xiong*, K Mangalam*, Y Li*, Z Yan, J Malik, C Feichtenhofer*
IEEE Conference on Computer Vision and Pattern Recognition, 2021
2902021
It is not the journey but the destination: Endpoint conditioned trajectory prediction
K Mangalam, H Girase, S Agarwal, KH Lee, E Adeli, J Malik, A Gaidon
European Conference on Computer Vision, 2020
1692020
Future person localization in first-person videos
T Yagi, K Mangalam, R Yonetani, Y Sato
IEEE Conference on Computer Vision and Pattern Recognition, 2018
1382018
Long-term human motion prediction with scene context
Z Cao, H Gao, K Mangalam, QZ Cai, M Vo, J Malik
European Conference on Computer Vision, 2020
872020
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
IEEE Conference on Computer Vision and Pattern Recognition, 2022
602022
From goals, waypoints & paths to long term human trajectory forecasting
K Mangalam, Y An, H Girase, J Malik
IEEE International Conference on Computer Vision, 2021
512021
Improved Multiscale Vision Transformers for Classification and Detection
Y Li*, CY Wu*, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer*
IEEE Conference on Computer Vision and Pattern Recognition, 2022
352022
Disentangling human dynamics for pedestrian locomotion forecasting with noisy supervision
K Mangalam, E Adeli, KH Lee, A Gaidon, JC Niebles
IEEE Winter Conference on Applications of Computer Vision, 2020
332020
Do deep neural networks learn shallow learnable examples first?
K Mangalam, VU Prabhu
Understanding Deep Phenomena, International Conference on Machine Learning, 2019
262019
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
172022
Learning spontaneity to improve emotion recognition in speech
K Mangalam, T Guha
Interspeech, 2018
122018
LOKI: Long Term and Key Intentions for Trajectory Prediction
H Girase, H Gang, S Malla, J Li, A Kanehara, K Mangalam, C Choi
IEEE International Conference on Computer Vision, 2021
102021
On compressing u-net using knowledge distillation
K Mangalam, M Salzamann
arXiv preprint arXiv:1812.00249, 2018
92018
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition
CY Wu*, Y Li*, K Mangalam, H Fan, B Xiong, J Malik, C Feichtenhofer*
arXiv preprint arXiv:2201.08383, 2022
82022
Object-region video transformers
R Herzig, E Ben-Avraham, K Mangalam, A Bar, G Chechik, A Rohrbach, ...
IEEE Conference on Computer Vision and Pattern Recognition, 2022
82022
Multiscale vision transformers. arXiv 2021
H Fan, B Xiong, K Mangalam, Y Li, Z Yan, J Malik, C Feichtenhofer
arXiv preprint arXiv:2104.11227, 0
8
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
S Kim, A Gholami, A Shaw, N Lee, K Mangalam, J Malik, MW Mahoney, ...
arXiv preprint arXiv:2206.00888, 2022
22022
Overcoming Mode Collapse with Adaptive Multi Adversarial Training
K Mangalam, R Garg
IEEE British Machine Vision Conference, 2021
22021
Structured Video Tokens@ Ego4D PNR Temporal Localization Challenge 2022
E Ben-Avraham, R Herzig, K Mangalam, A Bar, A Rohrbach, L Karlinsky, ...
arXiv preprint arXiv:2206.07689, 2022
2022
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
E Ben-Avraham, R Herzig, K Mangalam, A Bar, A Rohrbach, L Karlinsky, ...
arXiv preprint arXiv:2206.06346, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20