630 citations · 2.3k across the 46 of their papers we have counts for
33 papers · 1 filter
Similarity R-C3D for Few-shot Temporal Activity Detection
Huijuan Xu, Bingyi Kang, Ximeng Sun +3
Many activities of interest are rare events, with only a few labeled examples available. Therefore models for temporal activity detection which are able to learn from a few example…
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
Eric Tzeng, Kaylee Burns, Kate Saenko +1
Domain adaptation of visual detectors is a critical challenge, yet existing methods have overlooked pixel appearance transformations, focusing instead on bootstrapping and/or domai…
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Zhichao Yin, Trevor Darrell, Fisher Yu
Explicit representations of the global match distributions of pixel-wise correspondences between pairs of images are desirable for uncertainty estimation and downstream application…
Adversarial Inference for Multi-Sentence Video Description
Jae Sung Park, Marcus Rohrbach, Trevor Darrell +1
While significant progress has been made in the image captioning task, video description is still in its infancy due to the complex nature of video data. Generating multi-sentence…
Few-shot Object Detection via Feature Reweighting
Bingyi Kang, Zhuang Liu, Xin Wang +3
Conventional training of a deep CNN based object detector demands a large number of bounding box annotations, which may be unavailable for rare categories. In this work we develop…
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha +2
Many approaches in generalized zero-shot learning rely on cross-modal mapping between the image feature space and the class embedding space. As labeled images are expensive, one di…