Search Results for author:
Found 26 papers, 6 papers with code
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.
Noisy-Labeled NER with Confidence Estimation
This work studies NER under a noisy labeled setting with calibrated confidence estimation.
FETNet: Feature Erasing and Transferring Network for Scene Text Removal
To tackle these problems, we propose a novel Feature Erasing and Transferring (FET) mechanism to reconfigure the encoded features for STR in this paper.
A Prism Module for Semantic Disentanglement in Name Entity Recognition
To solve this problem, we propose a prism module to disentangle the semantic aspects of words and reduce noise at the input layer of a model.
Ranked #52 on
Named Entity Recognition (NER)
on CoNLL 2003 (English)
FAME: 3D Shape Generation via Functionality-Aware Model Evolution
Our tool supports constrained modeling, allowing users to restrict or steer the model evolution with functionality labels.
Graphics
SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Human Action Segmentation
Nowadays, the majority of approaches concentrate on the fusion of dense signals (i. e., RGB, optical flow, and depth maps).
Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data
Motivated by this, we study the task of action recognition in surveillance video under a more realistic \emph{generalized zero-shot setting}, where testing data contains both seen and unseen classes.
Proceedings of the 2017 AdKDD & TargetAd Workshop
Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction with the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining Halifax, Nova Scotia, Canada.
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network
Similar and indeterminate defect detection of solar cell surface with heterogeneous texture and complex background is a challenge of solar cell manufacturing.
Ranked #1 on
Multi-Document Summarization
on review
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning
In addition, we also find that a progressive training strategy can foster a better neural network for the video recognition task than blindly pooling the distinct sources of geometry cues together.
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
Meanwhile, to increase the segmentation accuracy at each node, we enhance the recursive contextual feature with the shape feature extracted for the corresponding part.
Ranked #14 on
3D Part Segmentation
on ShapeNet-Part
(Class Average IoU metric)
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Existing sketch-analysis work studies sketches depicting static objects or scenes.
Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method
The network information system is a military information network system with evolution characteristics.
A Real-time Action Representation with Temporal Encoding and Deep Compression
Our method achieves clear improvements on UCF101 action recognition benchmark against state-of-the-art real-time methods by 5. 4% in terms of accuracy and 2 times faster in terms of inference speed with a less than 5MB storage model.
Language Guided Networks for Cross-modal Moment Retrieval
In this paper, we present Language Guided Networks (LGN), a new framework that leverages the sentence embedding to guide the whole process of moment retrieval.
Expectation Synchronization Synthesis in Non-Markovian Open Quantum Systems
In this article, we investigate the problem of engineering synchronization in non-Markovian quantum systems.
Quantum Physics
Both qubits of the singlet state can be steered simultaneously by multiple independent observers via sequential measurement
Quantum correlation is a fundamental property which distinguishes quantum systems from classical ones, and it is also a fragile resource under projective measurement.
Quantum Physics
Multi-agent consensus with heterogeneous time-varying input and communication delays in digraphs
First, for all agents whose state matrix has no eigenvalues with positive real parts, a communication-delay-related observer, which is used to construct the controller, is designed for followers to estimate the leader's state information.
A Baseline Framework for Part-level Action Parsing and Action Recognition
This technical report introduces our 2nd place solution to Kinetics-TPS Track on Part-level Action Parsing in ICCV DeeperAction Workshop 2021.
Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis
This paper focuses on the uncertainty set prediction of the aggregated generation of geographically distributed wind farms.
Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework
Therefore, researchers start to focus on a new task, Part-level Action Parsing (PAP), which aims to not only predict the video-level action but also recognize the frame-level fine-grained actions or interactions of body parts for each person in the video.
An Empirical Study and Analysis of Learning Generalizable Manipulation Skill in the SAPIEN Simulator
This paper provides a brief overview of our submission to the no interaction track of SAPIEN ManiSkill Challenge 2021.
DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation
Human pose estimation aims to figure out the keypoints of all people in different scenes.
Ranked #22 on
Pose Estimation
on COCO test-dev
Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges
Furthermore, we benchmark SOTA models for four multimodal tasks on this newly created dataset, which serve as new baselines for surveillance video-and-language understanding.
Ball Mill Fault Prediction Based on Deep Convolutional Auto-Encoding Network
This paper presents an anomaly detection method based on Deep Convolutional Auto-encoding Neural Networks (DCAN) for addressing the issue of ball mill bearing fault detection.
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision
These challenges are especially manifested in videos captured by unmanned aerial vehicles (UAV), where the target is usually far away from the camera and often with significant motion relative to the camera.
