A Large-Scale Japanese Dataset for Aspect-based Sentiment Analysis

no code implementations • LREC 2022 • Yuki Nakayama, Koji Murakami, Gautam Kumar, Sudha Bhingardive, Ikuko Hardaway

There has been significant progress in the field of sentiment analysis.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems

1 code implementation • 11 Nov 2023 • Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar, Stas Tiomkin

That is achieved by augmenting the model estimation objective with a controllability constraint, which penalizes models with a low degree of controllability.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory

no code implementations • 11 Aug 2019 • Benjamin Plaster, Gautam Kumar

Modeling brain dynamics to better understand and control complex behaviors underlying various cognitive brain functions are of interests to engineers, mathematicians, and physicists from the last several decades.

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

1 code implementation • 17 Oct 2017 • Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas

We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.

3D Part Segmentation 3D Reconstruction +1

Text Recognition in Scene Image and Video Frame using Color Channel Selection

no code implementations • 21 Jul 2017 • Ayan Kumar Bhunia, Gautam Kumar, Partha Pratim Roy, R. Balasubramanian, Umapada Pal

In this paper, we present a novel approach based on color channel selection for text recognition from scene images and video frames.

Binarization Optical Character Recognition (OCR)