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Found 23 papers, 5 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.
A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music
In recent years, AI-generated music has made significant progress, with several models performing well in multimodal and complex musical genres and scenes.
General Image-to-Image Translation with One-Shot Image Guidance
Inspired by this, we propose a novel framework named visual concept translator (VCT) with the ability to preserve content in the source image and translate the visual concepts guided by a single reference image.
Information Design in Multi-Agent Reinforcement Learning
To thrive in those environments, the agent needs to influence other agents so their actions become more helpful and less harmful.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative.
MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL
Conversational text-to-SQL is designed to translate multi-turn natural language questions into their corresponding SQL queries.
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
In comparison with the state-of-the-art RLlib, we empirically demonstrate the unique advantages of Lamarckian on benchmark tests with up to 6000 CPU cores: i) both the sampling efficiency and training speed are doubled when running PPO on Google football game; ii) the training speed is 13 times faster when running PBT+PPO on Pong game.
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
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.
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.
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.
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.
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.
