Search Results for author:
Found 16 papers, 7 papers with code
R(Det)^2: Randomized Decision Routing for Object Detection
In this paper, we propose a novel approach to combine decision trees and deep neural networks in an end-to-end learning manner for object detection.
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification
With the uncertainty-guided alternative optimization, we balance between the exploration of target domain data and the negative effects of noisy labeling.
Domain Adaptive Person Re-Identification
Person Re-Identification
Do Different Tracking Tasks Require Different Appearance Models?
We show how most tracking tasks can be solved within this framework, and that the same appearance model can be successfully used to obtain results that are competitive against specialised methods for most of the tasks considered.
Ranked #2 on
Video Object Segmentation
on DAVIS 2017
(mIoU metric)
Multi-Object Tracking
Multi-Object Tracking and Segmentation
+10
Video Super-resolution with Temporal Group Attention
Video super-resolution, which aims at producing a high-resolution video from its corresponding low-resolution version, has recently drawn increasing attention.
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
This paper proposes a self-supervised learning method for the person re-identification (re-ID) problem, where existing unsupervised methods usually rely on pseudo labels, such as those from video tracklets or clustering.
Towards Real-Time Multi-Object Tracking
In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.
Ranked #4 on
Multi-Object Tracking
on HiEve
Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning
The softmax loss and its variants are widely used as objectives for embedding learning, especially in applications like face recognition.
CS-R-FCN: Cross-supervised Learning for Large-Scale Object Detection
Generic object detection is one of the most fundamental problems in computer vision, yet it is difficult to provide all the bounding-box-level annotations aiming at large-scale object detection for thousands of categories.
Intra-clip Aggregation for Video Person Re-identification
Video-based person re-identification has drawn massive attention in recent years due to its extensive applications in video surveillance.
HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection
First, we present the modules of spatial attention, channel attention and aligned attention for single-stage object detection.
Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
The visibility awareness allows VPM to extract region-level features and compare two images with focus on their shared regions (which are visible on both images).
Ranked #14 on
Person Re-Identification
on Market-1501-C
Linkage Based Face Clustering via Graph Convolution Network
The key idea is that we find the local context in the feature space around an instance (face) contains rich information about the linkage relationship between this instance and its neighbors.
Intention Oriented Image Captions with Guiding Objects
In this paper, we propose a novel approach for generating image captions with guiding objects (CGO).
DeepDeblur: Fast one-step blurry face images restoration
Comprehensive experiments demonstrate that our proposed method can handle various blur kenels and achieve state-of-the-art results for small size blurry face images restoration.
Progressive Representation Adaptation for Weakly Supervised Object Localization
In classification adaptation, we transfer a pre-trained network to a multi-label classification task for recognizing the presence of a certain object in an image.
Weakly Supervised Object Localization With Progressive Domain Adaptation
In this paper, we address this problem by progressive domain adaptation with two main steps: classification adaptation and detection adaptation.
