activity
20162024
most citedLinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

1.5k citations · 2.6k across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024★ 4 cited

The Evolution of Multimodal Model Architectures

Shakti N. Wadekar, Abhishek Chaurasia, Aman Chadha +1

This work uniquely identifies and characterizes four prevalent multimodal model architectural patterns in the contemporary multimodal landscape. Systematically categorizing models…

cs.CV2022★ 87 cited

MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features

Shakti N. Wadekar, Abhishek Chaurasia

MobileViT (MobileViTv1) combines convolutional neural networks (CNNs) and vision transformers (ViTs) to create light-weight models for mobile vision tasks. Though the main MobileVi…

cs.AR2022★ 4 cited

Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array

Andre Xian Ming Chang, Parth Khopkar, Bashar Romanous +6

The Streaming Engine (SE) is a Coarse-Grained Reconfigurable Array which provides programming flexibility and high-performance with energy efficiency. An application program to be…

cs.CV2017★ 1.5k cited

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Abhishek Chaurasia, Eugenio Culurciello

Pixel-wise semantic segmentation for visual scene understanding not only needs to be accurate, but also efficient in order to find any use in real-time application. Existing algori…

cs.CV2016★ 1k cited

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Adam Paszke, Abhishek Chaurasia, Sangpil Kim +1

The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications. Recent deep neural networks aimed at this task have the disa…