Search Results for author: Kamal Gupta

Found 17 papers, 7 papers with code

Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation

no code implementations MTSummit 2021 Kamal Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal

Given that 44% of Indian population speaks and operates in Hindi language and we address the above challenges by presenting an English–to–Hindi neural machine translation (NMT) system to translate the product reviews available on e-commerce websites by creating an in-domain parallel corpora and handling various types of noise in reviews via two data augmentation techniques and viz.

Data Augmentation Machine Translation +2

EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS

no code implementations7 Dec 2023 Sharath Girish, Kamal Gupta, Abhinav Shrivastava

We validate the effectiveness of our approach on a variety of datasets and scenes preserving the visual quality while consuming 10-20x less memory and faster training/inference speed.

SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations

no code implementations ICCV 2023 Sharath Girish, Abhinav Shrivastava, Kamal Gupta

Implicit Neural Representations (INR) or neural fields have emerged as a popular framework to encode multimedia signals such as images and radiance fields while retaining high-quality.


ASIC: Aligning Sparse in-the-wild Image Collections

no code implementations ICCV 2023 Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar

We present a self-supervised technique that directly optimizes on a sparse collection of images of a particular object/object category to obtain consistent dense correspondences across the collection.

Teaching Matters: Investigating the Role of Supervision in Vision Transformers

1 code implementation CVPR 2023 Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava

We compare ViTs trained through different methods of supervision, and show that they learn a diverse range of behaviors in terms of their attention, representations, and downstream performance.

Robot to Human Object Handover using Vision and Joint Torque Sensor Modalities

no code implementations27 Oct 2022 Mohammadhadi Mohandes, Behnam Moradi, Kamal Gupta, Mehran Mehrandezh

We present a robot-to-human object handover algorithm and implement it on a 7-DOF arm equipped with a 3-finger mechanical hand.

Hand Detection

Neural Space-filling Curves

no code implementations18 Apr 2022 Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava

We present Neural Space-filling Curves (SFCs), a data-driven approach to infer a context-based scan order for a set of images.

Image Compression

LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification

1 code implementation6 Apr 2022 Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava

We introduce LilNetX, an end-to-end trainable technique for neural networks that enables learning models with specified accuracy-rate-computation trade-off.

Model Compression

PatchGame: Learning to Signal Mid-level Patches in Referential Games

1 code implementation NeurIPS 2021 Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava

We study a referential game (a type of signaling game) where two agents communicate with each other via a discrete bottleneck to achieve a common goal.

Multimodal Attention for Layout Synthesis in Diverse Domains

no code implementations1 Jan 2021 Kamal Gupta, Vijay Mahadevan, Alessandro Achille, Justin Lazarow, Larry S. Davis, Abhinav Shrivastava

We address the problem of scene layout generation for diverse domains such as images, mobile applications, documents and 3D objects.

The Lottery Ticket Hypothesis for Object Recognition

1 code implementation CVPR 2021 Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry Davis, Abhinav Shrivastava

The recently proposed Lottery Ticket Hypothesis (LTH) states that deep neural networks trained on large datasets contain smaller subnetworks that achieve on par performance as the dense networks.

Instance Segmentation Keypoint Estimation +4

Improved Modeling of 3D Shapes with Multi-view Depth Maps

1 code implementation7 Sep 2020 Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker

Our simple encoder-decoder framework, comprised of a novel identity encoder and class-conditional viewpoint generator, generates 3D consistent depth maps.

Image Generation

LayoutTransformer: Layout Generation and Completion with Self-attention

2 code implementations ICCV 2021 Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava

Generating a new layout or extending an existing layout requires understanding the relationships between these primitives.

Generalized Grasping for Mechanical Grippers for Unknown Objects with Partial Point Cloud Representations

no code implementations23 Jun 2020 Michael Hegedus, Kamal Gupta, Mehran Mehrandezh

We present a generalized grasping algorithm that uses point clouds (i. e. a group of points and their respective surface normals) to discover grasp pose solutions for multiple grasp types, executed by a mechanical gripper, in near real-time.

PatchVAE: Learning Local Latent Codes for Recognition

1 code implementation CVPR 2020 Kamal Gupta, Saurabh Singh, Abhinav Shrivastava

Unsupervised representation learning holds the promise of exploiting large amounts of unlabeled data to learn general representations.

Representation Learning

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