151 citations · 258 across the 10 of their papers we have counts for
11 papers
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong +2
We present a large-scale study on unsupervised spatiotemporal representation learning from videos. With a unified perspective on four recent image-based frameworks, we study a simp…
Multiscale Vision Transformers
Haoqi Fan, Bo Xiong, Karttikeya Mangalam +4
We present Multiscale Vision Transformers (MViT) for video and image recognition, by connecting the seminal idea of multiscale feature hierarchies with transformer models. Multisca…
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos
Yanghao Li, Tushar Nagarajan, Bo Xiong +1
We introduce an approach for pre-training egocentric video models using large-scale third-person video datasets. Learning from purely egocentric data is limited by low dataset scal…
Multiview Pseudo-Labeling for Semi-supervised Learning from Video
Bo Xiong, Haoqi Fan, Kristen Grauman +1
We present a multiview pseudo-labeling approach to video learning, a novel framework that uses complementary views in the form of appearance and motion information for semi-supervi…
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…
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos
Bo Xiong, Suyog Dutt Jain, Kristen Grauman
We propose an end-to-end learning framework for segmenting generic objects in both images and videos. Given a novel image or video, our approach produces a pixel-level mask for all…
Snap Angle Prediction for 360 Panoramas
Bo Xiong, Kristen Grauman
360 panoramas are a rich medium, yet notoriously difficult to visualize in the 2D image plane. We explore how intelligent rotations of a spherical image may enable conten…
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao, Bo Xiong, Kristen Grauman
Existing methods to recognize actions in static images take the images at their face value, learning the appearances---objects, scenes, and body poses---that distinguish each actio…
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
Danna Gurari, Kun He, Bo Xiong +6
We propose the ambiguity problem for the foreground object segmentation task and motivate the importance of estimating and accounting for this ambiguity when designing vision syste…
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
Suyog Dutt Jain, Bo Xiong, Kristen Grauman
We propose an end-to-end learning framework for segmenting generic objects in videos. Our method learns to combine appearance and motion information to produce pixel level segmenta…
Pixel Objectness
Suyog Dutt Jain, Bo Xiong, Kristen Grauman
We propose an end-to-end learning framework for generating foreground object segmentations. Given a single novel image, our approach produces pixel-level masks for all "object-like…