Search Results for author:
Found 13 papers, 4 papers with code
MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is the task of identifying a set of <human, object, interaction> triplets from an image.
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Such a lack of alignment and uniformity might restrict the transferability and robustness of embeddings.
Boundary-aware Self-supervised Learning for Video Scene Segmentation
Inspired from this, we tackle video scene segmentation, which is a task of temporally localizing scene boundaries in a video, with a self-supervised learning framework where we mainly focus on designing effective pretext tasks.
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts
The VALUE (Video-And-Language Understanding Evaluation) benchmark is newly introduced to evaluate and analyze multi-modal representation learning algorithms on three video-and-language tasks: Retrieval, QA, and Captioning.
Boundary-aware Pre-training for Video Scene Segmentation
Inspired from this, we tackle video scene segmentation, which is a task of temporally localizing scene boundaries in a video, with a self-supervised learning framework where we mainly focus on designing effective pretext tasks.
Towards Light-weight and Real-time Line Segment Detection
In this paper, we propose a real-time and light-weight line segment detector for resource-constrained environments named Mobile LSD (M-LSD).
Ranked #6 on
Line Segment Detection
on York Urban Dataset
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
In this paper, we study the compositional learning of images and texts for image retrieval.
Ranked #14 on
Image Retrieval
on Fashion IQ
On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates
We propose methods for constructing regularized mixtures of density forecasts.
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction
This paper presents a study on semi-supervised learning to solve the visual attribute prediction problem.
Fashion-IQ 2020 Challenge 2nd Place Team's Solution
This paper is dedicated to team VAA's approach submitted to the Fashion-IQ challenge in CVPR 2020.
A Benchmark on Tricks for Large-scale Image Retrieval
Many studies have been performed on metric learning, which has become a key ingredient in top-performing methods of instance-level image retrieval.
Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval
FAM is a challenging task in that the attributes are hard to define, and the unique characteristics of a query are hard to be preserved.
Baseline CNN structure analysis for facial expression recognition
The experiment result showed that a three-layer structure consisting of a simple convolutional and a max pooling layer with histogram equalization image input was the most efficient.
Facial Expression Recognition
Facial Expression Recognition (FER)
