5 citations · 8 across the 6 of their papers we have counts for
6 papers · 1 filter
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries
Tao Wu, Chuhao Zhou, Yen Heng Wong +2
The rapid advancement of Vision-Language Models (VLMs) has significantly advanced the development of Embodied Question Answering (EQA), enhancing agents' abilities in language unde…
PANet: A Physics-guided Parametric Augmentation Net for Image Dehazing by Hazing
Chih-Ling Chang, Fu-Jen Tsai, Zi-Ling Huang +2
Image dehazing faces challenges when dealing with hazy images in real-world scenarios. A huge domain gap between synthetic and real-world haze images degrades dehazing performance…
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
Jiahe Li, Jiawei Zhang, Xiao Bai +4
Radiance fields have demonstrated impressive performance in synthesizing novel views from sparse input views, yet prevailing methods suffer from high training costs and slow infere…
Robust Synthetic-to-Real Transfer for Stereo Matching
Jiawei Zhang, Jiahe Li, Lei Huang +4
With advancements in domain generalized stereo matching networks, models pre-trained on synthetic data demonstrate strong robustness to unseen domains. However, few studies have in…
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
Jiahe Li, Jiawei Zhang, Xiao Bai +2
This paper presents ER-NeRF, a novel conditional Neural Radiance Fields (NeRF) based architecture for talking portrait synthesis that can concurrently achieve fast convergence, rea…
SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations
Zhiming Wang, Lin Gu, Feng Lu
Due to the prevalence of scale variance in nature images, we propose to use image scale as a self-supervised signal for Masked Image Modeling (MIM). Our method involves selecting r…