Search Results for author: Kaiwen Zha

Found 5 papers, 3 papers with code

Unsupervised Image Transformation Learning via Generative Adversarial Networks

no code implementations13 Mar 2021 Kaiwen Zha, Yujun Shen, Bolei Zhou

In this work, we study the image transformation problem by learning the underlying transformations from a collection of images using Generative Adversarial Networks (GANs).

Image Generation

Delving into Deep Imbalanced Regression

1 code implementation18 Feb 2021 Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi

We define Deep Imbalanced Regression (DIR) as learning from such imbalanced data with continuous targets, dealing with potential missing data for certain target values, and generalizing to the entire target range.

Deep RNN Framework for Visual Sequential Applications

1 code implementation CVPR 2019 Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu

There are mainly two novel designs in our deep RNN framework: one is a new RNN module called Context Bridge Module (CBM) which splits the information flowing along the sequence (temporal direction) and along depth (spatial representation direction), making it easier to train when building deep by balancing these two directions; the other is the Overlap Coherence Training Scheme that reduces the training complexity for long visual sequential tasks on account of the limitation of computing resources.

Future prediction SSIM +1

Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model

no code implementations4 Feb 2018 Bo Pang, Kaiwen Zha, Cewu Lu

We introduce the first benchmark for a new problem --- recognizing human action adverbs (HAA): "Adverbs Describing Human Actions" (ADHA).

Action Recognition Image Captioning

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