Search Results for author:
Found 14 papers, 7 papers with code
WorDepth: Variational Language Prior for Monocular Depth Estimation
To test this, we focus on monocular depth estimation, the problem of predicting a dense depth map from a single image, but with an additional text caption describing the scene.
APISR: Anime Production Inspired Real-World Anime Super-Resolution
In addition, we identify two anime-specific challenges of distorted and faint hand-drawn lines and unwanted color artifacts.
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations
We introduce UniTouch, a unified tactile model for vision-based touch sensors connected to multiple modalities, including vision, language, and sound.
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
In this work, we for the first time, present a video compression-based degradation model to synthesize low-resolution image data in the blind SISR task.
Generating Visual Scenes from Touch
An emerging line of work has sought to generate plausible imagery from touch.
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.
Boosting Detection in Crowd Analysis via Underutilized Output Features
Detection-based methods have been viewed unfavorably in crowd analysis due to their poor performance in dense crowds.
Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models
In this paper, we introduce a novel multi-dancer synthesis task called partner dancer generation, which involves synthesizing virtual human dancers capable of performing dance with users.
Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model
Extensive experiments demonstrate that DiffHOI significantly outperforms the state-of-the-art in regular detection (i. e., 41. 50 mAP) and zero-shot detection.
Ranked #2 on
Zero-Shot Human-Object Interaction Detection
on HICO-DET
(using extra training data)
Human-Object Interaction Detection
Zero-Shot Human-Object Interaction Detection
Improve Bilingual TTS Using Dynamic Language and Phonology Embedding
We introduce phonology embedding to capture the English differences between different phonology.
Touch and Go: Learning from Human-Collected Vision and Touch
The ability to associate touch with sight is essential for tasks that require physically interacting with objects in the world.
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
In practice, new images are usually made available in a consecutive manner, leading to a problem called Continual Semantic Segmentation (CSS).
Sparse and Complete Latent Organization for Geospatial Semantic Segmentation
In particular, to enhance the sparsity of the latent space, we design a prototypical contrastive learning to have prototypes of the same category clustering together and prototypes of different categories to be far away from each other.
Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion
Specifically, prosodic features are used to explicit model prosody, while VAE and reference encoder are used to implicitly model prosody, which take Mel spectrum and bottleneck feature as input respectively.
