output
20212026
most citedSolve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration

90 citations

7 papers

cs.AI2026

DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement

Siyuan Liu, Fan Yu, Dongyu Ru +5

Online agent deployments accumulate execution trajectories at massive scale and behavioral diversity, for which predefined annotation criteria hardly exist. Extracting useful evide…

cs.CV2022★ 90 cited

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration

Liqi Yan, Qifan Wang, Siqi Ma +2

Instance segmentation in videos, which aims to segment and track multiple objects in video frames, has garnered a flurry of research attention in recent years. In this paper, we pr…

cs.IR2022★ 89 cited

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation

Yifang Qin, Yifan Wang, Fang Sun +6

Point-of-Interest (POI) recommendation plays a vital role in various location-aware services. It has been observed that POI recommendation is driven by both sequential and geograph…

cs.CV2022★ 84 cited

3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection

Junyu Luo, Jiahui Fu, Xianghao Kong +5

3D visual grounding aims to locate the referred target object in 3D point cloud scenes according to a free-form language description. Previous methods mostly follow a two-stage par…

cs.CL2022★ 68 cited

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis

Kai Zhang, Kun Zhang, Mengdi Zhang +4

Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towards a specific aspect in the given sentence. While pre-trained language models such as BERT have achieved gre…

cs.AI2022★ 1 cited

On the evaluation of (meta-)solver approaches

Roberto Amadini, Maurizio Gabbrielli, Tong Liu +1

Meta-solver approaches exploits a number of individual solvers to potentially build a better solver. To assess the performance of meta-solvers, one can simply adopt the metrics typ…