Search Results for author:
Found 11 papers, 6 papers with code
QACP: An Annotated Question Answering Dataset for Assisting Chinese Python Programming Learners
In online learning platforms, particularly in rapidly growing computer programming courses, addressing the thousands of students' learning queries requires considerable human cost.
FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions
To facilitate the development of 3D pose estimation, we present FreeMan, the first large-scale, multi-view dataset collected under the real-world conditions.
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
To the best of our knowledge, we present one of the very first open-source endeavors in the field, LAMM, encompassing a Language-Assisted Multi-Modal instruction tuning dataset, framework, and benchmark.
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary
Thus we propose to separate the identity features with the variance features in a light-weighted set-based disentanglement framework.
Open-Vocabulary Object Detection With an Open Corpus
For the classification task, we introduce an open corpus classifier by reconstructing original classifier with similar words in text space.
Model Compression for DNN-based Speaker Verification Using Weight Quantization
Experimental results on VoxCeleb show that weight quantization is effective for compressing SV models.
Frame-Subtitle Self-Supervision for Multi-Modal Video Question Answering
Multi-modal video question answering aims to predict correct answer and localize the temporal boundary relevant to the question.
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration
Weakly Supervised Object Localization (WSOL), which aims to localize objects by only using image-level labels, has attracted much attention because of its low annotation cost in real applications.
Ranked #2 on
Weakly-Supervised Object Localization
on ImageNet
VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation
In this paper, the VLAD aggregation method is adopted to quantize local features with visual vocabulary locally partitioning the feature space, and hence preserve the local discriminability.
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
Automatically selecting exposure bracketing (images exposed differently) is important to obtain a high dynamic range image by using multi-exposure fusion.
Attention-based Pyramid Aggregation Network for Visual Place Recognition
Visual place recognition is challenging in the urban environment and is usually viewed as a large scale image retrieval task.
