20 citations · 23 across the 7 of their papers we have counts for
7 papers
The Promise of RL for Autoregressive Image Editing
Saba Ahmadi, Rabiul Awal, Ankur Sikarwar +8
While image generation techniques are now capable of producing high-quality images that respect prompts which span multiple sentences, the task of text-guided image editing remains…
DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning
Sara Vera Marjanović, Arkil Patel, Vaibhav Adlakha +14
Large Reasoning Models like DeepSeek-R1 mark a fundamental shift in how LLMs approach complex problems. Instead of directly producing an answer for a given input, DeepSeek-R1 creat…
Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
Benno Krojer, Dheeraj Vattikonda, Luis Lara +4
An image editing model should be able to perform diverse edits, ranging from object replacement, changing attributes or style, to performing actions or movement, which require many…
Improving Automatic VQA Evaluation Using Large Language Models
Oscar Mañas, Benno Krojer, Aishwarya Agrawal
8 years after the visual question answering (VQA) task was proposed, accuracy remains the primary metric for automatic evaluation. VQA Accuracy has been effective so far in the IID…
Pragmatic Inference with a CLIP Listener for Contrastive Captioning
Jiefu Ou, Benno Krojer, Daniel Fried
We propose a simple yet effective and robust method for contrastive captioning: generating discriminative captions that distinguish target images from very similar alternative dist…
Are Diffusion Models Vision-And-Language Reasoners?
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti +2
Text-conditioned image generation models have recently shown immense qualitative success using denoising diffusion processes. However, unlike discriminative vision-and-language mod…
Image Retrieval from Contextual Descriptions
Benno Krojer, Vaibhav Adlakha, Vibhav Vineet +3
The ability to integrate context, including perceptual and temporal cues, plays a pivotal role in grounding the meaning of a linguistic utterance. In order to measure to what exten…