activity
20182022
most citedPose Flow: Efficient Online Pose Tracking

26 citations · 86 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CL2022

Generic Temporal Reasoning with Differential Analysis and Explanation

Yu Feng, Ben Zhou, Haoyu Wang +2

Temporal reasoning is the task of predicting temporal relations of event pairs. While temporal reasoning models can perform reasonably well on in-domain benchmarks, we have little…

cs.CL2022

Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction

Haoyu Wang, Hongming Zhang, Yuqian Deng +3

In this paper, we seek to improve the faithfulness of TempRel extraction models from two perspectives. The first perspective is to extract genuinely based on contextual description…

cs.CL2022★ 1 cited

Zero-Shot On-the-Fly Event Schema Induction

Rotem Dror, Haoyu Wang, Dan Roth

What are the events involved in a pandemic outbreak? What steps should be taken when planning a wedding? The answers to these questions can be found by collecting many documents on…

cs.CL2022

Are All Steps Equally Important? Benchmarking Essentiality Detection of Events

Haoyu Wang, Hongming Zhang, Yueguan Wang +3

Natural language expresses events with varying granularities, where coarse-grained events (goals) can be broken down into finer-grained event sequences (steps). A critical yet over…

cs.CL2021

Learning Constraints and Descriptive Segmentation for Subevent Detection

Haoyu Wang, Hongming Zhang, Muhao Chen +1

Event mentions in text correspond to real-world events of varying degrees of granularity. The task of subevent detection aims to resolve this granularity issue, recognizing the mem…

cs.CL2020★ 10 cited

Unsupervised Label-aware Event Trigger and Argument Classification

Hongming Zhang, Haoyu Wang, Dan Roth

Identifying events and mapping them to pre-defined event types has long been an important natural language processing problem. Most previous work has been heavily relying on labor-…

cs.AI2020★ 3 cited

Analogous Process Structure Induction for Sub-event Sequence Prediction

Hongming Zhang, Muhao Chen, Haoyu Wang +2

Computational and cognitive studies of event understanding suggest that identifying, comprehending, and predicting events depend on having structured representations of a sequence…

cs.CL2020★ 2 cited

"What Are You Trying to Do?" Semantic Typing of Event Processes

Muhao Chen, Hongming Zhang, Haoyu Wang +1

This paper studies a new cognitively motivated semantic typing task, multi-axis event process typing, that, given an event process, attempts to infer free-form type labels describi…

cs.CL2020★ 5 cited

Joint Constrained Learning for Event-Event Relation Extraction

Haoyu Wang, Muhao Chen, Hongming Zhang +1

Understanding natural language involves recognizing how multiple event mentions structurally and temporally interact with each other. In this process, one can induce event complexe…

cs.CV2018★ 24 cited

Estimating 6D Pose From Localizing Designated Surface Keypoints

Zelin Zhao, Gao Peng, Haoyu Wang +3

In this paper, we present an accurate yet effective solution for 6D pose estimation from an RGB image. The core of our approach is that we first designate a set of surface points o…

cs.CL2018★ 15 cited

DOLORES: Deep Contextualized Knowledge Graph Embeddings

Haoyu Wang, Vivek Kulkarni, William Yang Wang

We introduce a new method DOLORES for learning knowledge graph embeddings that effectively captures contextual cues and dependencies among entities and relations. First, we note th…

cs.CV2018★ 26 cited

Pose Flow: Efficient Online Pose Tracking

Yuliang Xiu, Jiefeng Li, Haoyu Wang +2

Multi-person articulated pose tracking in unconstrained videos is an important while challenging problem. In this paper, going along the road of top-down approaches, we propose a d…