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Found 16 papers, 1 papers with code
Effective Unsupervised Constrained Text Generation based on Perturbed Masking
Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data.
Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation
By integrating a 2D hand pose estimation model and a 3D human pose estimation model, the proposed method can produce plausible arm and hand dynamics from monocular video.
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
To this end, we characterize card and game features for DouDizhu to represent the perfect and imperfect information.
Improve few-shot voice cloning using multi-modal learning
Recently, few-shot voice cloning has achieved a significant improvement.
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
With this in mind, we hosted the third edition of the MineRL ObtainDiamond competition, MineRL Diamond 2021, with a separate track in which we permitted any solution to promote the participation of newcomers.
Revisiting IPA-based Cross-lingual Text-to-speech
Experiments show that the way to process the IPA and suprasegmental sequence has a negligible impact on the CL VC performance.
Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech
In this paper, we study the disentanglement of speaker and language representations in non-autoregressive cross-lingual TTS models from various aspects.
Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data
More importantly, we find that our method can achieve a comparable result to the state-of-the-art (SOTA) performance in cross-lingual voice cloning.
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge
Person re-identification has always been a hot and challenging task.
Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree Based Method
However, deriving reliable traffic metrics from these camera feeds has been a challenge due to the limitations of current vehicle detection techniques, as well as the various camera conditions such as height and resolution.
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
To address this problem, we introduce the first Mobile AI challenge, where the target is to develop quantized deep learning-based camera scene classification solutions that can demonstrate a real-time performance on smartphones and IoT platforms.
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
Image super-resolution is one of the most popular computer vision problems with many important applications to mobile devices.
Structural and dynamic disorder, not ionic trapping, controls charge transport in highly doped conducting polymers
Doped organic semiconductors are critical to emerging device applications, including thermoelectrics, bioelectronics, and neuromorphic computing devices.
Materials Science
A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge
This paper presents the participation of NetEase Game AI Lab team for the ClariQ challenge at Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020.
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020.
Compressed Hashing
Recent studies have shown that hashing methods are effective for high dimensional nearest neighbor search.
