1 citations · 4 across the 6 of their papers we have counts for
6 papers
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
Wenzhen Yue, Yong Liu, Xianghua Ying +3
This paper presents \textbf{FreEformer}, a simple yet effective model that leverages a \textbf{Fre}quency \textbf{E}nhanced Trans\textbf{former} for multivariate time series foreca…
Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes
Ji Shi, Xianghua Ying, Ruohao Guo +2
Neural Radiance Fields (NeRF) often struggle with reconstructing and rendering highly reflective scenes. Recent advancements have developed various reflection-aware appearance mode…
Open-Vocabulary Audio-Visual Semantic Segmentation
Ruohao Guo, Liao Qu, Dantong Niu +5
Audio-visual semantic segmentation (AVSS) aims to segment and classify sounding objects in videos with acoustic cues. However, most approaches operate on the close-set assumption a…
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
Wenzhen Yue, Xianghua Ying, Ruohao Guo +5
In this paper, we present the Sub-Adjacent Transformer with a novel attention mechanism for unsupervised time series anomaly detection. Unlike previous approaches that rely on all…
CM-PIE: Cross-modal perception for interactive-enhanced audio-visual video parsing
Yaru Chen, Ruohao Guo, Xubo Liu +4
Audio-visual video parsing is the task of categorizing a video at the segment level with weak labels, and predicting them as audible or visible events. Recent methods for this task…
Improved Instruction Ordering in Recipe-Grounded Conversation
Duong Minh Le, Ruohao Guo, Wei Xu +1
In this paper, we study the task of instructional dialogue and focus on the cooking domain. Analyzing the generated output of the GPT-J model, we reveal that the primary challenge…