activity
20142024
most citedRethinking FID: Towards a Better Evaluation Metric for Image Generation

10 citations · 15 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

LatentCRF: Continuous CRF for Efficient Latent Diffusion

Kanchana Ranasinghe, Sadeep Jayasumana, Andreas Veit +5

Latent Diffusion Models (LDMs) produce high-quality, photo-realistic images, however, the latency incurred by multiple costly inference iterations can restrict their applicability.…

cs.CV2024★ 10 cited

Rethinking FID: Towards a Better Evaluation Metric for Image Generation

Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit +3

As with many machine learning problems, the progress of image generation methods hinges on good evaluation metrics. One of the most popular is the Frechet Inception Distance (FID).…

cs.CV2023

MarkovGen: Structured Prediction for Efficient Text-to-Image Generation

Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam +3

Modern text-to-image generation models produce high-quality images that are both photorealistic and faithful to the text prompts. However, this quality comes at significant computa…

cs.LG2021

Balancing Robustness and Sensitivity using Feature Contrastive Learning

Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam +3

It is generally believed that robust training of extremely large networks is critical to their success in real-world applications. However, when taken to the extreme, methods that…

cs.CV2021★ 2 cited

Less is more: Selecting informative and diverse subsets with balancing constraints

Srikumar Ramalingam, Daniel Glasner, Kaushal Patel +3

Deep learning has yielded extraordinary results in vision and natural language processing, but this achievement comes at a cost. Most models require enormous resources during train…

cs.CV2021★ 2 cited

Understanding Robustness of Transformers for Image Classification

Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner +3

Deep Convolutional Neural Networks (CNNs) have long been the architecture of choice for computer vision tasks. Recently, Transformer-based architectures like Vision Transformer (Vi…

cs.CV2014★ 1 cited

A Global Approach for Solving Edge-Matching Puzzles

Shahar Z. Kovalsky, Daniel Glasner, Ronen Basri

We consider apictorial edge-matching puzzles, in which the goal is to arrange a collection of puzzle pieces with colored edges so that the colors match along the edges of adjacent…