Search Results for author:
Found 15 papers, 4 papers with code
EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation
We open-source our multilingual language models, new benchmark datasets for various downstream tasks, and task-specific fine-tuned language models and discuss the performance of the models.
What explains the success of cross-modal fine-tuning with ORCA?
ORCA (Shen et al., 2023) is a recent technique for cross-modal fine-tuning, i. e., applying pre-trained transformer models to modalities beyond their training data.
ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions
Current approaches for 3D human motion synthesis generate high-quality animations of digital humans performing a wide variety of actions and gestures.
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
Semi-supervised 3D object detection can benefit from the promising pseudo-labeling technique when labeled data is limited.
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution
Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic data.
Edge-aware Consistent Stereo Video Depth Estimation
As a benefit of using stereo inputs, a left-right consistency loss is introduced to improve the performance.
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation
For experiments and analysis, we train the DPT algorithm, a state-of-the-art transformer-based MDE algorithm on the proposed synthetic dataset, which significantly increases the accuracy of depth maps on different scenes by 9 %.
XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments
For this, we formulate a mixed-integer quadratic program (MIQP) to schedule operators of deep learning networks on heterogeneous systems.
IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions
Is it possible to synthesize such motion plausibly with a diverse set of objects and instructions?
Synthesis of Compositional Animations from Textual Descriptions
Our model can generate plausible pose sequences for short sentences describing single actions as well as long compositional sentences describing multiple sequential and superimposed actions.
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality.
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
Human motion capture data has been widely used in data-driven character animation.
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data
Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks.
How should a fixed budget of dwell time be spent in scanning electron microscopy to optimize image quality?
In scanning electron microscopy, the achievable image quality is often limited by a maximum feasible acquisition time per dataset.
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting
The approach has the advantage of being agnostic to most modelbased parts of exemplar-based inpainting such as the order in which patches are processed and the cost function used to determine patch similarity.
