activity
20152026
most citedHard Negative Mixing for Contrastive Learning

269 citations · 1k across the 33 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 219 cited

Decoupling Representation and Classifier for Long-Tailed Recognition

Bingyi Kang, Saining Xie, Marcus Rohrbach +4

The long-tail distribution of the visual world poses great challenges for deep learning based classification models on how to handle the class imbalance problem. Existing solutions…

cs.CV2019★ 1 cited

Learning to Generate Grounded Visual Captions without Localization Supervision

Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib +3

When automatically generating a sentence description for an image or video, it often remains unclear how well the generated caption is grounded, that is whether the model uses the…

cs.CV2019★ 149 cited

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

Yunpeng Chen, Haoqi Fan, Bing Xu +5

In natural images, information is conveyed at different frequencies where higher frequencies are usually encoded with fine details and lower frequencies are usually encoded with gl…

cs.CV2019★ 5 cited

Less is More: Learning Highlight Detection from Video Duration

Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram +1

Highlight detection has the potential to significantly ease video browsing, but existing methods often suffer from expensive supervision requirements, where human viewers must manu…

cs.CV2019★ 10 cited

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition

Zheng Shou, Xudong Lin, Yannis Kalantidis +4

Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming. Rece…