activity
20172024
most citedIntegrating Egocentric Localization for More Realistic Point-Goal Navigation Agents

18 citations · 45 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2024★ 8 cited

Movie Gen: A Cast of Media Foundation Models

Adam Polyak, Amit Zohar, Andrew Brown +85

We present Movie Gen, a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. We also show additional capabili…

cs.AI2024

The Llama 3 Herd of Models

Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +556

Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models th…

cs.CV2023★ 2 cited

DISGO: Automatic End-to-End Evaluation for Scene Text OCR

Mei-Yuh Hwang, Yangyang Shi, Ankit Ramchandani +6

This paper discusses the challenges of optical character recognition (OCR) on natural scenes, which is harder than OCR on documents due to the wild content and various image backgr…

cs.CV2022

Episodic Memory Question Answering

Samyak Datta, Sameer Dharur, Vincent Cartillier +4

Egocentric augmented reality devices such as wearable glasses passively capture visual data as a human wearer tours a home environment. We envision a scenario wherein the human com…

cs.CV2020★ 18 cited

Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents

Samyak Datta, Oleksandr Maksymets, Judy Hoffman +3

Recent work has presented embodied agents that can navigate to point-goal targets in novel indoor environments with near-perfect accuracy. However, these agents are equipped with i…

cs.CV2019★ 14 cited

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

Erik Wijmans, Samyak Datta, Oleksandr Maksymets +6

To help bridge the gap between internet vision-style problems and the goal of vision for embodied perception we instantiate a large-scale navigation task -- Embodied Question Answe…

cs.CV2019

Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment

Samyak Datta, Karan Sikka, Anirban Roy +3

We address the problem of grounding free-form textual phrases by using weak supervision from image-caption pairs. We propose a novel end-to-end model that uses caption-to-image ret…

cs.CV2018★ 1 cited

Unsupervised Learning of Face Representations

Samyak Datta, Gaurav Sharma, C. V. Jawahar

We present an approach for unsupervised training of CNNs in order to learn discriminative face representations. We mine supervised training data by noting that multiple faces in th…

cs.CV2017★ 2 cited

Embodied Question Answering

Abhishek Das, Samyak Datta, Georgia Gkioxari +3

We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- where an agent is spawned at a random location in a 3D environment and asked a question ("What color is the…