112 citations · 302 across the 5 of their papers we have counts for
8 papers
Exploring intermediate representation for monocular vehicle pose estimation
Shichao Li, Zengqiang Yan, Hongyang Li +1
We present a new learning-based framework to recover vehicle pose in SO(3) from a single RGB image. In contrast to previous works that map from local appearance to observation angl…
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li, David Eigen, Samuel Dodge +2
Few-shot learning is an important area of research. Conceptually, humans are readily able to understand new concepts given just a few examples, while in more pragmatic terms, limit…
Feature Intertwiner for Object Detection
Hongyang Li, Bo Dai, Shaoshuai Shi +2
A well-trained model should classify objects with a unanimous score for every category. This requires the high-level semantic features should be as much alike as possible among sam…
Neural Network Encapsulation
Hongyang Li, Xiaoyang Guo, Bo Dai +2
A capsule is a collection of neurons which represents different variants of a pattern in the network. The routing scheme ensures only certain capsules which resemble lower counterp…
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Yu Liu, Hongyang Li, Xiaogang Wang
Feature matters. How to train a deep network to acquire discriminative features across categories and polymerized features within classes has always been at the core of many comput…
Learning Deep Features via Congenerous Cosine Loss for Person Recognition
Yu Liu, Hongyang Li, Xiaogang Wang
Person recognition aims at recognizing the same identity across time and space with complicated scenes and similar appearance. In this paper, we propose a novel method to address t…