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20122026
most citedYOLOv3: An Incremental Improvement

5.8k citations · 10.8k across the 96 of their papers we have counts for

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Showing 2015 · cs.CVShow all

6 papers · 2 filters

cs.CV2015

Toward a Taxonomy and Computational Models of Abnormalities in Images

Babak Saleh, Ahmed Elgammal, Jacob Feldman +1

The human visual system can spot an abnormal image, and reason about what makes it strange. This task has not received enough attention in computer vision. In this paper we study v…

cs.CV2015★ 15 cited

Actions ~ Transformations

Xiaolong Wang, Ali Farhadi, Abhinav Gupta

What defines an action like "kicking ball"? We argue that the true meaning of an action lies in the change or transformation an action brings to the environment. In this paper, we…

cs.CV2015

Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images

Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari +1

In this paper, we study the challenging problem of predicting the dynamics of objects in static images. Given a query object in an image, our goal is to provide a physical understa…

cs.CV2015★ 19 cited

VISALOGY: Answering Visual Analogy Questions

Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi

In this paper, we study the problem of answering visual analogy questions. These questions take the form of image A is to image B as image C is to what. Answering these questions e…

cs.CV2015★ 1 cited

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing

Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala +2

We introduce Segment-Phrase Table (SPT), a large collection of bijective associations between textual phrases and their corresponding segmentations. Leveraging recent progress in o…

cs.CV2015

You Only Look Once: Unified, Real-Time Object Detection

Joseph Redmon, Santosh Divvala, Ross Girshick +1

We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression…