Skanda Koppula

According to our database, Skanda Koppula authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators.

Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu

IEEE Trans. Computers, September, 2024

PaliGemma: A versatile 3B VLM for transfer.

Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai

CoRR, 2024

TAPVid-3D: A Benchmark for Tracking Any Point in 3D.

Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch

CoRR, 2024

BootsTAP: Bootstrapped Training for Tracking-Any-Point.

Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman

CoRR, 2024

Memory Consolidation Enables Long-Context Video Understanding.

Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames.

Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joe Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation.

Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods.

Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff

CoRR, 2022

Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328 Microcontroller.

Utsav Banerjee, Lisa Ho, Skanda Koppula

CoRR, 2022

Hierarchical Perceiver.

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle

CoRR, 2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

Proceedings of the Tenth International Conference on Learning Representations, 2022

Object Discovery and Representation Networks.

Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Deep Learning Approach for Characterizing Major Galaxy Mergers.

Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adrià Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

CoRR, 2021

Efficient Visual Pretraining with Contrastive Detection.

Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions.

Kieran Strobel, Sibo Zhu, Raphael Chang, Skanda Koppula

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM.

Skanda Koppula, Lois Orosa, Abdullah Giray Yaglikçi, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations.

Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018

Understanding Recurrent Neural State Using Memory Signatures.

Skanda Koppula, Khe Chai Sim, Kean K. Chin

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Energy-Efficient Speaker Identification with Low-Precision Networks.

Skanda Koppula, James R. Glass, Anantha P. Chandrakasan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Applying the Residue Number System to Network Inference.

Mohamed Abdelhamid, Skanda Koppula

CoRR, 2017

Learning a CNN-based End-to-End Controller for a Formula SAE Racecar.

Skanda Koppula

CoRR, 2017