248 citations · 453 across the 10 of their papers we have counts for
6 papers · 1 filter
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
Yushi Hu, Otilia Stretcu, Chun-Ta Lu +5
Solving complex visual tasks such as "Who invented the musical instrument on the right?" involves a composition of skills: understanding space, recognizing instruments, and also re…
Learning to Detect Touches on Cluttered Tables
Norberto Adrian Goussies, Kenji Hata, Shruthi Prabhakara +28
We present a novel self-contained camera-projector tabletop system with a lamp form-factor that brings digital intelligence to our tables. We propose a real-time, on-device, learni…
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis +4
Computer vision models learn to perform a task by capturing relevant statistics from training data. It has been shown that models learn spurious age, gender, and race correlations…
ActivityNet Challenge 2017 Summary
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek +6
The ActivityNet Large Scale Activity Recognition Challenge 2017 Summary: results and challenge participants papers.
Dense-Captioning Events in Videos
Ranjay Krishna, Kenji Hata, Frederic Ren +2
Most natural videos contain numerous events. For example, in a video of a "man playing a piano", the video might also contain "another man dancing" or "a crowd clapping". We introd…
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth +9
Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering. Cognition is…