This paper proposes a method for head pose estimation from a single image. Previous
methods often predict head poses through landmark or depth estimation and would require …

Video object segmentation is challenging yet important in a wide variety of applications for
video analysis. Recent works formulate video object segmentation as a prediction task using …

We tackle the problem of establishing dense pixel-wise correspondences between a pair of
images. In this work, we introduce Dual-Resolution Correspondence Networks (DualRC …

In this letter, we present a deep learning-based network, GCNv2, for generation of keypoints
and descriptors. GCNv2 is built on our previous method, GCN, a network trained for 3D …

This paper presents a novel CNN model called Soft Stagewise Regression Network (SSR-
Net) for age estimation from a single image with a compact model size. Inspired by DEX, we …

In this paper, we address a new task called instance co-segmentation. Given a set of images
jointly covering object instances of a specific category, instance co-segmentation aims to …

Siamese networks are non-linear deep models that have found their ways into a broad set of
problems in learning theory, thanks to their embedding capabilities. In this paper, we study …

We tackle the essential task of finding dense visual correspondences between a pair of
images. This is a challenging problem due to various factors such as poor texture, repetitive …

This paper presents a lightweight network for head pose estimation (HPE) task. While
previous approaches rely on convolutional neural networks, the proposed network LwPosr …