Search Results for author: Umit Y. Ogras

Found 13 papers, 3 papers with code

PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360deg

1 code implementation CVPR 2023 Sizhe An, Hongyi Xu, Yichun Shi, Guoxian Song, Umit Y. Ogras, Linjie Luo

We propose PanoHead, the first 3D-aware generative model that enables high-quality view-consistent image synthesis of full heads in 360deg with diverse appearance and detailed geometry using only in-the-wild unstructured images for training.

Image Generation Image Segmentation +1

PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm

1 code implementation16 Aug 2022 Toygun Basaklar, Suat Gumussoy, Umit Y. Ogras

To this end, we propose a novel MORL algorithm that trains a single universal network to cover the entire preference space scalable to continuous robotic tasks.

Continuous Control Multi-Objective Reinforcement Learning +1

COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks

no code implementations15 May 2022 Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy, Gopikrishnan Ravindran Nair, Yu Cao, Umit Y. Ogras

Besides accelerating the computation using custom compute elements (CE) and in-memory computing, COIN aims at minimizing the intra- and inter-CE communication in GCN operations to optimize the performance and energy efficiency.

Fast and Scalable Human Pose Estimation using mmWave Point Cloud

no code implementations29 Apr 2022 Sizhe An, Umit Y. Ogras

Millimeter-Wave (mmWave) radar can enable high-resolution human pose estimation with low cost and computational requirements.

Meta-Learning Pose Estimation

tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices

no code implementations18 Feb 2022 Toygun Basaklar, Yigit Tuncel, Umit Y. Ogras

Optimal energy management is a challenging task due to the dynamic nature of the harvested energy and the battery energy constraints of the target device.

energy management Management +1

SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks

no code implementations14 Aug 2021 Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, Yu Cao

In-memory computing (IMC) on a monolithic chip for deep learning faces dramatic challenges on area, yield, and on-chip interconnection cost due to the ever-increasing model sizes.


FLASH: Fast Neural Architecture Search with Hardware Optimization

no code implementations1 Aug 2021 Guihong Li, Sumit K. Mandal, Umit Y. Ogras, Radu Marculescu

This paper proposes FLASH, a very fast NAS methodology that co-optimizes the DNN accuracy and performance on a real hardware platform.

Neural Architecture Search

Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks

no code implementations6 Jul 2021 Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Umit Y. Ogras, Yu Cao

In this technique, we use analytical models of NoC to evaluate end-to-end communication latency of any given DNN.

Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices

no code implementations8 Mar 2021 Toygun Basaklar, Yigit Tuncel, Shruti Yadav Narayana, Suat Gumussoy, Umit Y. Ogras

The proposed approach decreases the hypervector dimension by more than $32\times$ while maintaining or increasing the accuracy achieved by conventional HDC.

Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs

no code implementations22 Aug 2020 Sumit K. Mandal, Umit Y. Ogras, Janardhan Rao Doppa, Raid Z. Ayoub, Michael Kishinevsky, Partha P. Pande

Dynamic resource management has become one of the major areas of research in modern computer and communication system design due to lower power consumption and higher performance demands.

Imitation Learning Management

User-Space Emulation Framework for Domain-Specific SoC Design

1 code implementation1 Apr 2020 Joshua Mack, Nirmal Kumbhare, Anish NK, Umit Y. Ogras, Ali Akoglu

In this work, we propose a portable, Linux-based emulation framework to provide an ecosystem for hardware-software co-design of Domain-specific SoCs (DSSoCs) and enable their rapid evaluation during the pre-silicon design phase.

Distributed, Parallel, and Cluster Computing

An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms

no code implementations20 Mar 2020 Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande, Umit Y. Ogras

To address this need, system-on-chips (SoC) that are at the heart of these devices provide a variety of control knobs, such as the number of active cores and their voltage/frequency levels.

Imitation Learning Management

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